As a global marketing experience company, Quad's goal is to help our clients win every day. We use our data-driven integrated marketing and manufacturing platform to streamline solutions for our clients, reduce friction and enhance their marketing spend effectiveness. We've built a rich legacy by believing in our people, allowing them to act like owners and to take charge of their own success. Whether an operator, sales rep, a graphic artist or a clinician, we're all driven to perform at our best- for ourselves and our clients. At our core, we're a company that believes we can always create a better way. Are you the right applicant for this opportunity Find out by reading through the role overview below. Web Offset Press Operator (First Press) Location: Hartford, WI Pay: Starting at $25.00 / hour or more , based on relevant experience and work history Paid Relocation: Available for qualified candidates relocating from 100+ miles away. Shift Options Available: 12-hour rotating schedule (days and nights) Schedule: 12-hour compressed work schedule (3/4 or 4/3 rotation), working only 182 days per year while maintaining full-time pay and benefits. Experience Required: This is an experienced Web Offset Press Operator (First Press) position. Previous commercial printing press operating experience is required. Experience operating web offset presses is preferred; however, candidates with experience operating sheetfed offset, flexographic, gravure, or other commercial printing press platforms are encouraged to apply. Produce Printed Products Millions of People See Every Day Every day, millions of people see the products we produce-from magazines and catalogs to retail advertising, direct mail, and other printed products. At Quad, you'll work with advanced technology, produce high-quality printed materials, and build a long-term career with a company that invests in its people. Hartford is one of Quad's largest manufacturing campuses and an important part of our nationwide production network. Here, you'll work with advanced printing technology while supporting the production of magazines, catalogs, and retail advertising products seen across the country. As home to our CRT ink manufacturing division , Hartford is also a center for innovation and continuous improvement, making it an exciting place to build a manufacturing career with room to grow. Position Summary Quad is seeking an experienced Web Offset Press Operator (First Press) to join our Hartford manufacturing team. In this leadership role, you'll operate and maintain advanced web offset printing equipment while leading press crews to achieve safety, quality, and production goals. You'll oversee press performance, troubleshoot equipment, mentor team members, and drive continuous improvement in one of North America's largest commercial printing operations. Experience operating Harris, Heidelberg, Goss, Manroland , or similar web offset presses is highly preferred. Candidates with experience operating other commercial printing press platforms are encouraged to apply. What You'll Do Operate and maintain web offset presses and auxiliary equipment. Lead and direct press crew members to achieve production, quality, and safety goals. Perform press set-ups, make-readies, and routine maintenance procedures. Troubleshoot press, folder, reel, stacker, and related equipment to minimize downtime. Maintain proper ink and water balance while monitoring color consistency, registration, and print quality. Read and interpret job tickets, customer specifications, and production requirements. Coordinate maintenance activities and communicate equipment needs. Maintain production records, downtime documentation, and quality reports. Promote and support safety initiatives, 6S, Lean Manufacturing, and continuous improvement efforts. Train, mentor, and develop pressroom team members. Collaborate with supervisors and cross-functional teams to improve productivity and performance. Perform other duties as assigned. What We're Looking For Previous commercial printing press operating experience is required. Experience operating web offset presses is preferred. Candidates with experience operating sheetfed offset, flexographic, gravure, or other commercial printing press platforms are encouraged to apply. Experience operating Harris, Heidelberg, Goss, Manroland, or similar presses is highly preferred. Strong knowledge of offset printing processes, color management, registration, ink distribution, and print quality standards. Experience troubleshooting web breaks, tension systems, folders, and related press equipment. Strong mechanical aptitude and problem-solving skills. Proven leadership experience with the ability to train, mentor, and develop team members. Ability to read and interpret job tickets, production specifications, and work instructions. Basic math skills related to press operations. Ability to speak, read, write, and understand English to safely perform job duties, follow work instructions, and communicate effectively with team members. Ability to lift up to 50 pounds occasionally and stand for extended periods. Ability to work a 12-hour rotating schedule, including days, nights, weekends, holidays, and overtime as business needs require. Why Quad? At Quad, you'll do more than operate equipment-you'll lead a team producing printed products that reach millions of consumers every day. We continue to invest in printing technology, automation, and our employees, creating opportunities to expand your leadership and technical skills while building a long-term career with an industry leader. Qualified candidates relocating more than 100 miles may be eligible for paid relocation assistance , making it easier to join our Hartford team. Hartford employees enjoy a variety of unique benefits, including: 12-hour compressed work schedule -work only 182 days per year while maintaining full-time pay and benefits. On-site fitness center to support your health and wellness. On-site medical clinic for convenient access to healthcare. Climate-controlled manufacturing environment. Opportunities to work with some of the most advanced web offset printing technology in North America. Career growth and advancement across press operations, maintenance, quality, engineering, and leadership. Compensation is based on experience, skills, qualifications, shift, location, and other job-related factors. Lead with Experience. Build Your Career at Quad. If you're an experienced commercial press operator who enjoys leading teams, solving technical challenges, and producing exceptional work, we'd love to hear from you. Apply today and see where a career at Quad can take you. We offer comprehensive benefits for eligible employees including medical, prescription, dental and vision insurance, 401(k) retirement savings, paid time off, holidays and additional benefits. Quad is proud to be an equal opportunity employer. We are committed to creating a place of belonging - a space where employees do not need to sacrifice who they are to exist and grow in our workplace. Quad does not discriminate on any unlawful basis including race, religion, color, national origin, disability, gender, gender identity, sexual orientation, age, marital status, veteran status, genetic information, or any other basis prohibited by applicable federal, state, or local laws. xibtplm Quad also prohibits harassment of applicants and employees based on any of these protected categories. Drug-Free Workplace
07/28/2026
Full time
As a global marketing experience company, Quad's goal is to help our clients win every day. We use our data-driven integrated marketing and manufacturing platform to streamline solutions for our clients, reduce friction and enhance their marketing spend effectiveness. We've built a rich legacy by believing in our people, allowing them to act like owners and to take charge of their own success. Whether an operator, sales rep, a graphic artist or a clinician, we're all driven to perform at our best- for ourselves and our clients. At our core, we're a company that believes we can always create a better way. Are you the right applicant for this opportunity Find out by reading through the role overview below. Web Offset Press Operator (First Press) Location: Hartford, WI Pay: Starting at $25.00 / hour or more , based on relevant experience and work history Paid Relocation: Available for qualified candidates relocating from 100+ miles away. Shift Options Available: 12-hour rotating schedule (days and nights) Schedule: 12-hour compressed work schedule (3/4 or 4/3 rotation), working only 182 days per year while maintaining full-time pay and benefits. Experience Required: This is an experienced Web Offset Press Operator (First Press) position. Previous commercial printing press operating experience is required. Experience operating web offset presses is preferred; however, candidates with experience operating sheetfed offset, flexographic, gravure, or other commercial printing press platforms are encouraged to apply. Produce Printed Products Millions of People See Every Day Every day, millions of people see the products we produce-from magazines and catalogs to retail advertising, direct mail, and other printed products. At Quad, you'll work with advanced technology, produce high-quality printed materials, and build a long-term career with a company that invests in its people. Hartford is one of Quad's largest manufacturing campuses and an important part of our nationwide production network. Here, you'll work with advanced printing technology while supporting the production of magazines, catalogs, and retail advertising products seen across the country. As home to our CRT ink manufacturing division , Hartford is also a center for innovation and continuous improvement, making it an exciting place to build a manufacturing career with room to grow. Position Summary Quad is seeking an experienced Web Offset Press Operator (First Press) to join our Hartford manufacturing team. In this leadership role, you'll operate and maintain advanced web offset printing equipment while leading press crews to achieve safety, quality, and production goals. You'll oversee press performance, troubleshoot equipment, mentor team members, and drive continuous improvement in one of North America's largest commercial printing operations. Experience operating Harris, Heidelberg, Goss, Manroland , or similar web offset presses is highly preferred. Candidates with experience operating other commercial printing press platforms are encouraged to apply. What You'll Do Operate and maintain web offset presses and auxiliary equipment. Lead and direct press crew members to achieve production, quality, and safety goals. Perform press set-ups, make-readies, and routine maintenance procedures. Troubleshoot press, folder, reel, stacker, and related equipment to minimize downtime. Maintain proper ink and water balance while monitoring color consistency, registration, and print quality. Read and interpret job tickets, customer specifications, and production requirements. Coordinate maintenance activities and communicate equipment needs. Maintain production records, downtime documentation, and quality reports. Promote and support safety initiatives, 6S, Lean Manufacturing, and continuous improvement efforts. Train, mentor, and develop pressroom team members. Collaborate with supervisors and cross-functional teams to improve productivity and performance. Perform other duties as assigned. What We're Looking For Previous commercial printing press operating experience is required. Experience operating web offset presses is preferred. Candidates with experience operating sheetfed offset, flexographic, gravure, or other commercial printing press platforms are encouraged to apply. Experience operating Harris, Heidelberg, Goss, Manroland, or similar presses is highly preferred. Strong knowledge of offset printing processes, color management, registration, ink distribution, and print quality standards. Experience troubleshooting web breaks, tension systems, folders, and related press equipment. Strong mechanical aptitude and problem-solving skills. Proven leadership experience with the ability to train, mentor, and develop team members. Ability to read and interpret job tickets, production specifications, and work instructions. Basic math skills related to press operations. Ability to speak, read, write, and understand English to safely perform job duties, follow work instructions, and communicate effectively with team members. Ability to lift up to 50 pounds occasionally and stand for extended periods. Ability to work a 12-hour rotating schedule, including days, nights, weekends, holidays, and overtime as business needs require. Why Quad? At Quad, you'll do more than operate equipment-you'll lead a team producing printed products that reach millions of consumers every day. We continue to invest in printing technology, automation, and our employees, creating opportunities to expand your leadership and technical skills while building a long-term career with an industry leader. Qualified candidates relocating more than 100 miles may be eligible for paid relocation assistance , making it easier to join our Hartford team. Hartford employees enjoy a variety of unique benefits, including: 12-hour compressed work schedule -work only 182 days per year while maintaining full-time pay and benefits. On-site fitness center to support your health and wellness. On-site medical clinic for convenient access to healthcare. Climate-controlled manufacturing environment. Opportunities to work with some of the most advanced web offset printing technology in North America. Career growth and advancement across press operations, maintenance, quality, engineering, and leadership. Compensation is based on experience, skills, qualifications, shift, location, and other job-related factors. Lead with Experience. Build Your Career at Quad. If you're an experienced commercial press operator who enjoys leading teams, solving technical challenges, and producing exceptional work, we'd love to hear from you. Apply today and see where a career at Quad can take you. We offer comprehensive benefits for eligible employees including medical, prescription, dental and vision insurance, 401(k) retirement savings, paid time off, holidays and additional benefits. Quad is proud to be an equal opportunity employer. We are committed to creating a place of belonging - a space where employees do not need to sacrifice who they are to exist and grow in our workplace. Quad does not discriminate on any unlawful basis including race, religion, color, national origin, disability, gender, gender identity, sexual orientation, age, marital status, veteran status, genetic information, or any other basis prohibited by applicable federal, state, or local laws. xibtplm Quad also prohibits harassment of applicants and employees based on any of these protected categories. Drug-Free Workplace
Job Description Architect the Future of Enterprise Intelligence The"Senior Data Architect"provides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans"traditional data management"(DBMS, data modeling, warehousing, governance) and"modern cloud native/AI data engineering"on AWS, including"bronze, silver, gold patterns, Generation (RAG)"for LLMs, and data products that serve Cloud-native SaaS"application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into"target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as"S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.," Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement"row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via"IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and"feature/knowledge"layers to support"SageMaker"training/inference and"Amazon Bedrock"applications (e.g.,"Knowledge Bases,"Guardrails,"Agents, and Invoke Model/Converse orchestration). Lead"RAG"architectures (chunking, embeddings, retrieval) using"vector databases"such as"Amazon OpenSearch Serverless (vector search)"or"Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set"prompt, context, and token budget"standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:"SQL Server,"PostgreSQL,"MongoDB, including"schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern"EDW/ Lakehouse/ODS"patterns; integrate with".NET/C#"services and"Angular"frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define"API and data contract standards"(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for".NET/C#"and"Angular"consumers. Orchestrate ingestion from"SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,"MSK/Kinesis,"DMS,"Glue). Partner with Solution/Platform Architects to ensure"microservices"and"event driven"designs are data efficient and observability ready. Data Governance, Quality & Observability Implement"data governance"(policies, stewardship, data classification),"cataloging"(Glue Data Catalog),"lineage"(Open Lineage compatible), and"quality"(rules, thresholds, SLAs/SLOs). Embed"monitoring & cost governance"(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with"data minimization, tokenization, masking, and"access controls"across environments. Define secure patterns for"model inputs/outputs"(LLM safety),"prompt hygiene, and"guardrails"to prevent leakage or misuse. Delivery Leadership & Collaboration Produce"architecture blueprints, target state designs, and"build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead"design reviews,"threat modeling, and"cost/performance"reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of"engineering excellence"and"learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,"AWS Data Analytics/Solutions Architect preferred). 10+ years"designing and delivering enterprise data solutions, including"hands-on"work with both"traditional DBMS"and"cloud native"data platforms. 5+ years"building on cloud platforms"with production experience in several of:"S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale. Proven track record supporting"AI/ML"workloads (feature stores, model data pipelines) and delivering"RAG"solutions with vector search on AWS. Strong"SQL"and"Python; proficiency in"data modeling"-"IFC (preferred),"3NF, dimensional/star, data vault, etc. DBMS:"SQL Server,"PostgreSQL"(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:"Spark/EMR,"Glue"(ETL/ELT & Studio),"Airflow/Step Functions"orchestration," Parquet/Delta/Iceberg. Streaming/CDC:"MSK/Kinesis,"DMS"(change data capture),"event driven"patterns. Security & Governance:"IAM,"KMS,"Lake Formation,"Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:"Amazon Bedrock"(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,"prompt design,"token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,"cost controls"(storage/compute), workload rightsizing. DevOps/MLOps/IaC:"Git,"CI/CD"for data pipelines;"Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with"Redshift RA3/Spectrum,"materialized views,"workload management, and federated queries (Athena/Glue). Familiarity with"Power BI"/"Microsoft Fabric"and"Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies"(anonymization, differential privacy),"policy as code, and"guardrail"frameworks. Experience working with"geographically distributed teams"and"regulated data. Strategic thinking with the ability to balance short-term increments"and"long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
07/28/2026
Full time
Job Description Architect the Future of Enterprise Intelligence The"Senior Data Architect"provides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans"traditional data management"(DBMS, data modeling, warehousing, governance) and"modern cloud native/AI data engineering"on AWS, including"bronze, silver, gold patterns, Generation (RAG)"for LLMs, and data products that serve Cloud-native SaaS"application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into"target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as"S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.," Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement"row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via"IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and"feature/knowledge"layers to support"SageMaker"training/inference and"Amazon Bedrock"applications (e.g.,"Knowledge Bases,"Guardrails,"Agents, and Invoke Model/Converse orchestration). Lead"RAG"architectures (chunking, embeddings, retrieval) using"vector databases"such as"Amazon OpenSearch Serverless (vector search)"or"Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set"prompt, context, and token budget"standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:"SQL Server,"PostgreSQL,"MongoDB, including"schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern"EDW/ Lakehouse/ODS"patterns; integrate with".NET/C#"services and"Angular"frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define"API and data contract standards"(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for".NET/C#"and"Angular"consumers. Orchestrate ingestion from"SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,"MSK/Kinesis,"DMS,"Glue). Partner with Solution/Platform Architects to ensure"microservices"and"event driven"designs are data efficient and observability ready. Data Governance, Quality & Observability Implement"data governance"(policies, stewardship, data classification),"cataloging"(Glue Data Catalog),"lineage"(Open Lineage compatible), and"quality"(rules, thresholds, SLAs/SLOs). Embed"monitoring & cost governance"(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with"data minimization, tokenization, masking, and"access controls"across environments. Define secure patterns for"model inputs/outputs"(LLM safety),"prompt hygiene, and"guardrails"to prevent leakage or misuse. Delivery Leadership & Collaboration Produce"architecture blueprints, target state designs, and"build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead"design reviews,"threat modeling, and"cost/performance"reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of"engineering excellence"and"learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,"AWS Data Analytics/Solutions Architect preferred). 10+ years"designing and delivering enterprise data solutions, including"hands-on"work with both"traditional DBMS"and"cloud native"data platforms. 5+ years"building on cloud platforms"with production experience in several of:"S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale. Proven track record supporting"AI/ML"workloads (feature stores, model data pipelines) and delivering"RAG"solutions with vector search on AWS. Strong"SQL"and"Python; proficiency in"data modeling"-"IFC (preferred),"3NF, dimensional/star, data vault, etc. DBMS:"SQL Server,"PostgreSQL"(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:"Spark/EMR,"Glue"(ETL/ELT & Studio),"Airflow/Step Functions"orchestration," Parquet/Delta/Iceberg. Streaming/CDC:"MSK/Kinesis,"DMS"(change data capture),"event driven"patterns. Security & Governance:"IAM,"KMS,"Lake Formation,"Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:"Amazon Bedrock"(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,"prompt design,"token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,"cost controls"(storage/compute), workload rightsizing. DevOps/MLOps/IaC:"Git,"CI/CD"for data pipelines;"Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with"Redshift RA3/Spectrum,"materialized views,"workload management, and federated queries (Athena/Glue). Familiarity with"Power BI"/"Microsoft Fabric"and"Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies"(anonymization, differential privacy),"policy as code, and"guardrail"frameworks. Experience working with"geographically distributed teams"and"regulated data. Strategic thinking with the ability to balance short-term increments"and"long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
Job Description Architect the Future of Enterprise Intelligence The"Senior Data Architect"provides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans"traditional data management"(DBMS, data modeling, warehousing, governance) and"modern cloud native/AI data engineering"on AWS, including"bronze, silver, gold patterns, Generation (RAG)"for LLMs, and data products that serve Cloud-native SaaS"application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into"target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as"S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.," Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement"row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via"IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and"feature/knowledge"layers to support"SageMaker"training/inference and"Amazon Bedrock"applications (e.g.,"Knowledge Bases,"Guardrails,"Agents, and Invoke Model/Converse orchestration). Lead"RAG"architectures (chunking, embeddings, retrieval) using"vector databases"such as"Amazon OpenSearch Serverless (vector search)"or"Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set"prompt, context, and token budget"standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:"SQL Server,"PostgreSQL,"MongoDB, including"schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern"EDW/ Lakehouse/ODS"patterns; integrate with".NET/C#"services and"Angular"frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define"API and data contract standards"(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for".NET/C#"and"Angular"consumers. Orchestrate ingestion from"SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,"MSK/Kinesis,"DMS,"Glue). Partner with Solution/Platform Architects to ensure"microservices"and"event driven"designs are data efficient and observability ready. Data Governance, Quality & Observability Implement"data governance"(policies, stewardship, data classification),"cataloging"(Glue Data Catalog),"lineage"(Open Lineage compatible), and"quality"(rules, thresholds, SLAs/SLOs). Embed"monitoring & cost governance"(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with"data minimization, tokenization, masking, and"access controls"across environments. Define secure patterns for"model inputs/outputs"(LLM safety),"prompt hygiene, and"guardrails"to prevent leakage or misuse. Delivery Leadership & Collaboration Produce"architecture blueprints, target state designs, and"build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead"design reviews,"threat modeling, and"cost/performance"reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of"engineering excellence"and"learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,"AWS Data Analytics/Solutions Architect preferred). 10+ years"designing and delivering enterprise data solutions, including"hands-on"work with both"traditional DBMS"and"cloud native"data platforms. 5+ years"building on cloud platforms"with production experience in several of:"S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale. Proven track record supporting"AI/ML"workloads (feature stores, model data pipelines) and delivering"RAG"solutions with vector search on AWS. Strong"SQL"and"Python; proficiency in"data modeling"-"IFC (preferred),"3NF, dimensional/star, data vault, etc. DBMS:"SQL Server,"PostgreSQL"(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:"Spark/EMR,"Glue"(ETL/ELT & Studio),"Airflow/Step Functions"orchestration," Parquet/Delta/Iceberg. Streaming/CDC:"MSK/Kinesis,"DMS"(change data capture),"event driven"patterns. Security & Governance:"IAM,"KMS,"Lake Formation,"Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:"Amazon Bedrock"(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,"prompt design,"token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,"cost controls"(storage/compute), workload rightsizing. DevOps/MLOps/IaC:"Git,"CI/CD"for data pipelines;"Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with"Redshift RA3/Spectrum,"materialized views,"workload management, and federated queries (Athena/Glue). Familiarity with"Power BI"/"Microsoft Fabric"and"Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies"(anonymization, differential privacy),"policy as code, and"guardrail"frameworks. Experience working with"geographically distributed teams"and"regulated data. Strategic thinking with the ability to balance short-term increments"and"long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
07/28/2026
Full time
Job Description Architect the Future of Enterprise Intelligence The"Senior Data Architect"provides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans"traditional data management"(DBMS, data modeling, warehousing, governance) and"modern cloud native/AI data engineering"on AWS, including"bronze, silver, gold patterns, Generation (RAG)"for LLMs, and data products that serve Cloud-native SaaS"application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into"target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as"S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.," Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement"row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via"IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and"feature/knowledge"layers to support"SageMaker"training/inference and"Amazon Bedrock"applications (e.g.,"Knowledge Bases,"Guardrails,"Agents, and Invoke Model/Converse orchestration). Lead"RAG"architectures (chunking, embeddings, retrieval) using"vector databases"such as"Amazon OpenSearch Serverless (vector search)"or"Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set"prompt, context, and token budget"standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:"SQL Server,"PostgreSQL,"MongoDB, including"schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern"EDW/ Lakehouse/ODS"patterns; integrate with".NET/C#"services and"Angular"frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define"API and data contract standards"(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for".NET/C#"and"Angular"consumers. Orchestrate ingestion from"SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,"MSK/Kinesis,"DMS,"Glue). Partner with Solution/Platform Architects to ensure"microservices"and"event driven"designs are data efficient and observability ready. Data Governance, Quality & Observability Implement"data governance"(policies, stewardship, data classification),"cataloging"(Glue Data Catalog),"lineage"(Open Lineage compatible), and"quality"(rules, thresholds, SLAs/SLOs). Embed"monitoring & cost governance"(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with"data minimization, tokenization, masking, and"access controls"across environments. Define secure patterns for"model inputs/outputs"(LLM safety),"prompt hygiene, and"guardrails"to prevent leakage or misuse. Delivery Leadership & Collaboration Produce"architecture blueprints, target state designs, and"build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead"design reviews,"threat modeling, and"cost/performance"reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of"engineering excellence"and"learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,"AWS Data Analytics/Solutions Architect preferred). 10+ years"designing and delivering enterprise data solutions, including"hands-on"work with both"traditional DBMS"and"cloud native"data platforms. 5+ years"building on cloud platforms"with production experience in several of:"S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale. Proven track record supporting"AI/ML"workloads (feature stores, model data pipelines) and delivering"RAG"solutions with vector search on AWS. Strong"SQL"and"Python; proficiency in"data modeling"-"IFC (preferred),"3NF, dimensional/star, data vault, etc. DBMS:"SQL Server,"PostgreSQL"(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:"Spark/EMR,"Glue"(ETL/ELT & Studio),"Airflow/Step Functions"orchestration," Parquet/Delta/Iceberg. Streaming/CDC:"MSK/Kinesis,"DMS"(change data capture),"event driven"patterns. Security & Governance:"IAM,"KMS,"Lake Formation,"Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:"Amazon Bedrock"(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,"prompt design,"token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,"cost controls"(storage/compute), workload rightsizing. DevOps/MLOps/IaC:"Git,"CI/CD"for data pipelines;"Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with"Redshift RA3/Spectrum,"materialized views,"workload management, and federated queries (Athena/Glue). Familiarity with"Power BI"/"Microsoft Fabric"and"Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies"(anonymization, differential privacy),"policy as code, and"guardrail"frameworks. Experience working with"geographically distributed teams"and"regulated data. Strategic thinking with the ability to balance short-term increments"and"long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
Location: Redmond, WASchedule: Contract (Hybrid, 1-2 days onsite per week)Compensation Range: $50.00 - $55.00 per hourAre you ready to lead the user-centered evolution for a Global Technology Leader's flagship collaboration ecosystem? As a consultative partner, you will integrate deep insights regarding human behavior and attitudes to shape next-generation, AI-driven digital workflows. This strategic opportunity empowers you to bridge the gap between complex user needs and sophisticated product execution. Responsibilities:Formulate end-to-end qualitative and quantitative research strategies to deliver actionable insights that directly influence the long-term product roadmap.Analyze human behavioral data and ongoing UX health studies to ensure design-built experiences achieve optimal market readiness.Translate complex methodologies and data-driven insights into compelling recommendations for cross-functional leadership and product engineering teams. - Cultivate dynamic, cross-disciplinary partnerships with design, engineering, and marketing teams to scale customer-focused knowledge broadly across the organization. Qualifications:Experience: 4+ years of dedicated user experience research experience within the technology sector, driving both product direction and detailed experience design.Technical Expertise: Advanced proficiency utilizing enterprise research platforms such as UserTesting, DScout, Qualtrics, and Marvin for qualitative and quantitative methodologies.Business Impact: Proven track record of spearheading complex research projects independently while navigating ambiguity to deliver high-visibility results.Education & Presentation: Bachelor's degree in marketing (or equivalent training) paired with a high-quality portfolio demonstrating strategic research rationale and cross-functional impact.JOBID: 76 Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Cella, a randstad digital company, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Cella by randstad digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days.
07/28/2026
Full time
Location: Redmond, WASchedule: Contract (Hybrid, 1-2 days onsite per week)Compensation Range: $50.00 - $55.00 per hourAre you ready to lead the user-centered evolution for a Global Technology Leader's flagship collaboration ecosystem? As a consultative partner, you will integrate deep insights regarding human behavior and attitudes to shape next-generation, AI-driven digital workflows. This strategic opportunity empowers you to bridge the gap between complex user needs and sophisticated product execution. Responsibilities:Formulate end-to-end qualitative and quantitative research strategies to deliver actionable insights that directly influence the long-term product roadmap.Analyze human behavioral data and ongoing UX health studies to ensure design-built experiences achieve optimal market readiness.Translate complex methodologies and data-driven insights into compelling recommendations for cross-functional leadership and product engineering teams. - Cultivate dynamic, cross-disciplinary partnerships with design, engineering, and marketing teams to scale customer-focused knowledge broadly across the organization. Qualifications:Experience: 4+ years of dedicated user experience research experience within the technology sector, driving both product direction and detailed experience design.Technical Expertise: Advanced proficiency utilizing enterprise research platforms such as UserTesting, DScout, Qualtrics, and Marvin for qualitative and quantitative methodologies.Business Impact: Proven track record of spearheading complex research projects independently while navigating ambiguity to deliver high-visibility results.Education & Presentation: Bachelor's degree in marketing (or equivalent training) paired with a high-quality portfolio demonstrating strategic research rationale and cross-functional impact.JOBID: 76 Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Cella, a randstad digital company, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Cella by randstad digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days.
Job Description Architect the Future of Enterprise Intelligence The"Senior Data Architect"provides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans"traditional data management"(DBMS, data modeling, warehousing, governance) and"modern cloud native/AI data engineering"on AWS, including"bronze, silver, gold patterns, Generation (RAG)"for LLMs, and data products that serve Cloud-native SaaS"application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into"target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as"S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.," Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement"row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via"IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and"feature/knowledge"layers to support"SageMaker"training/inference and"Amazon Bedrock"applications (e.g.,"Knowledge Bases,"Guardrails,"Agents, and Invoke Model/Converse orchestration). Lead"RAG"architectures (chunking, embeddings, retrieval) using"vector databases"such as"Amazon OpenSearch Serverless (vector search)"or"Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set"prompt, context, and token budget"standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:"SQL Server,"PostgreSQL,"MongoDB, including"schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern"EDW/ Lakehouse/ODS"patterns; integrate with".NET/C#"services and"Angular"frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define"API and data contract standards"(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for".NET/C#"and"Angular"consumers. Orchestrate ingestion from"SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,"MSK/Kinesis,"DMS,"Glue). Partner with Solution/Platform Architects to ensure"microservices"and"event driven"designs are data efficient and observability ready. Data Governance, Quality & Observability Implement"data governance"(policies, stewardship, data classification),"cataloging"(Glue Data Catalog),"lineage"(Open Lineage compatible), and"quality"(rules, thresholds, SLAs/SLOs). Embed"monitoring & cost governance"(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with"data minimization, tokenization, masking, and"access controls"across environments. Define secure patterns for"model inputs/outputs"(LLM safety),"prompt hygiene, and"guardrails"to prevent leakage or misuse. Delivery Leadership & Collaboration Produce"architecture blueprints, target state designs, and"build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead"design reviews,"threat modeling, and"cost/performance"reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of"engineering excellence"and"learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,"AWS Data Analytics/Solutions Architect preferred). 10+ years"designing and delivering enterprise data solutions, including"hands-on"work with both"traditional DBMS"and"cloud native"data platforms. 5+ years"building on cloud platforms"with production experience in several of:"S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale. Proven track record supporting"AI/ML"workloads (feature stores, model data pipelines) and delivering"RAG"solutions with vector search on AWS. Strong"SQL"and"Python; proficiency in"data modeling"-"IFC (preferred),"3NF, dimensional/star, data vault, etc. DBMS:"SQL Server,"PostgreSQL"(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:"Spark/EMR,"Glue"(ETL/ELT & Studio),"Airflow/Step Functions"orchestration," Parquet/Delta/Iceberg. Streaming/CDC:"MSK/Kinesis,"DMS"(change data capture),"event driven"patterns. Security & Governance:"IAM,"KMS,"Lake Formation,"Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:"Amazon Bedrock"(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,"prompt design,"token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,"cost controls"(storage/compute), workload rightsizing. DevOps/MLOps/IaC:"Git,"CI/CD"for data pipelines;"Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with"Redshift RA3/Spectrum,"materialized views,"workload management, and federated queries (Athena/Glue). Familiarity with"Power BI"/"Microsoft Fabric"and"Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies"(anonymization, differential privacy),"policy as code, and"guardrail"frameworks. Experience working with"geographically distributed teams"and"regulated data. Strategic thinking with the ability to balance short-term increments"and"long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
07/28/2026
Full time
Job Description Architect the Future of Enterprise Intelligence The"Senior Data Architect"provides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans"traditional data management"(DBMS, data modeling, warehousing, governance) and"modern cloud native/AI data engineering"on AWS, including"bronze, silver, gold patterns, Generation (RAG)"for LLMs, and data products that serve Cloud-native SaaS"application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into"target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as"S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.," Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement"row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via"IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and"feature/knowledge"layers to support"SageMaker"training/inference and"Amazon Bedrock"applications (e.g.,"Knowledge Bases,"Guardrails,"Agents, and Invoke Model/Converse orchestration). Lead"RAG"architectures (chunking, embeddings, retrieval) using"vector databases"such as"Amazon OpenSearch Serverless (vector search)"or"Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set"prompt, context, and token budget"standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:"SQL Server,"PostgreSQL,"MongoDB, including"schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern"EDW/ Lakehouse/ODS"patterns; integrate with".NET/C#"services and"Angular"frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define"API and data contract standards"(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for".NET/C#"and"Angular"consumers. Orchestrate ingestion from"SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,"MSK/Kinesis,"DMS,"Glue). Partner with Solution/Platform Architects to ensure"microservices"and"event driven"designs are data efficient and observability ready. Data Governance, Quality & Observability Implement"data governance"(policies, stewardship, data classification),"cataloging"(Glue Data Catalog),"lineage"(Open Lineage compatible), and"quality"(rules, thresholds, SLAs/SLOs). Embed"monitoring & cost governance"(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with"data minimization, tokenization, masking, and"access controls"across environments. Define secure patterns for"model inputs/outputs"(LLM safety),"prompt hygiene, and"guardrails"to prevent leakage or misuse. Delivery Leadership & Collaboration Produce"architecture blueprints, target state designs, and"build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead"design reviews,"threat modeling, and"cost/performance"reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of"engineering excellence"and"learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,"AWS Data Analytics/Solutions Architect preferred). 10+ years"designing and delivering enterprise data solutions, including"hands-on"work with both"traditional DBMS"and"cloud native"data platforms. 5+ years"building on cloud platforms"with production experience in several of:"S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale. Proven track record supporting"AI/ML"workloads (feature stores, model data pipelines) and delivering"RAG"solutions with vector search on AWS. Strong"SQL"and"Python; proficiency in"data modeling"-"IFC (preferred),"3NF, dimensional/star, data vault, etc. DBMS:"SQL Server,"PostgreSQL"(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:"Spark/EMR,"Glue"(ETL/ELT & Studio),"Airflow/Step Functions"orchestration," Parquet/Delta/Iceberg. Streaming/CDC:"MSK/Kinesis,"DMS"(change data capture),"event driven"patterns. Security & Governance:"IAM,"KMS,"Lake Formation,"Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:"Amazon Bedrock"(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,"prompt design,"token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,"cost controls"(storage/compute), workload rightsizing. DevOps/MLOps/IaC:"Git,"CI/CD"for data pipelines;"Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with"Redshift RA3/Spectrum,"materialized views,"workload management, and federated queries (Athena/Glue). Familiarity with"Power BI"/"Microsoft Fabric"and"Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies"(anonymization, differential privacy),"policy as code, and"guardrail"frameworks. Experience working with"geographically distributed teams"and"regulated data. Strategic thinking with the ability to balance short-term increments"and"long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
Job Description Architect the Future of Enterprise Intelligence The"Senior Data Architect"provides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans"traditional data management"(DBMS, data modeling, warehousing, governance) and"modern cloud native/AI data engineering"on AWS, including"bronze, silver, gold patterns, Generation (RAG)"for LLMs, and data products that serve Cloud-native SaaS"application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into"target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as"S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.," Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement"row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via"IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and"feature/knowledge"layers to support"SageMaker"training/inference and"Amazon Bedrock"applications (e.g.,"Knowledge Bases,"Guardrails,"Agents, and Invoke Model/Converse orchestration). Lead"RAG"architectures (chunking, embeddings, retrieval) using"vector databases"such as"Amazon OpenSearch Serverless (vector search)"or"Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set"prompt, context, and token budget"standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:"SQL Server,"PostgreSQL,"MongoDB, including"schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern"EDW/ Lakehouse/ODS"patterns; integrate with".NET/C#"services and"Angular"frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define"API and data contract standards"(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for".NET/C#"and"Angular"consumers. Orchestrate ingestion from"SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,"MSK/Kinesis,"DMS,"Glue). Partner with Solution/Platform Architects to ensure"microservices"and"event driven"designs are data efficient and observability ready. Data Governance, Quality & Observability Implement"data governance"(policies, stewardship, data classification),"cataloging"(Glue Data Catalog),"lineage"(Open Lineage compatible), and"quality"(rules, thresholds, SLAs/SLOs). Embed"monitoring & cost governance"(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with"data minimization, tokenization, masking, and"access controls"across environments. Define secure patterns for"model inputs/outputs"(LLM safety),"prompt hygiene, and"guardrails"to prevent leakage or misuse. Delivery Leadership & Collaboration Produce"architecture blueprints, target state designs, and"build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead"design reviews,"threat modeling, and"cost/performance"reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of"engineering excellence"and"learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,"AWS Data Analytics/Solutions Architect preferred). 10+ years"designing and delivering enterprise data solutions, including"hands-on"work with both"traditional DBMS"and"cloud native"data platforms. 5+ years"building on cloud platforms"with production experience in several of:"S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale. Proven track record supporting"AI/ML"workloads (feature stores, model data pipelines) and delivering"RAG"solutions with vector search on AWS. Strong"SQL"and"Python; proficiency in"data modeling"-"IFC (preferred),"3NF, dimensional/star, data vault, etc. DBMS:"SQL Server,"PostgreSQL"(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:"Spark/EMR,"Glue"(ETL/ELT & Studio),"Airflow/Step Functions"orchestration," Parquet/Delta/Iceberg. Streaming/CDC:"MSK/Kinesis,"DMS"(change data capture),"event driven"patterns. Security & Governance:"IAM,"KMS,"Lake Formation,"Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:"Amazon Bedrock"(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,"prompt design,"token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,"cost controls"(storage/compute), workload rightsizing. DevOps/MLOps/IaC:"Git,"CI/CD"for data pipelines;"Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with"Redshift RA3/Spectrum,"materialized views,"workload management, and federated queries (Athena/Glue). Familiarity with"Power BI"/"Microsoft Fabric"and"Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies"(anonymization, differential privacy),"policy as code, and"guardrail"frameworks. Experience working with"geographically distributed teams"and"regulated data. Strategic thinking with the ability to balance short-term increments"and"long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
07/28/2026
Full time
Job Description Architect the Future of Enterprise Intelligence The"Senior Data Architect"provides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans"traditional data management"(DBMS, data modeling, warehousing, governance) and"modern cloud native/AI data engineering"on AWS, including"bronze, silver, gold patterns, Generation (RAG)"for LLMs, and data products that serve Cloud-native SaaS"application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into"target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as"S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.," Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement"row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via"IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and"feature/knowledge"layers to support"SageMaker"training/inference and"Amazon Bedrock"applications (e.g.,"Knowledge Bases,"Guardrails,"Agents, and Invoke Model/Converse orchestration). Lead"RAG"architectures (chunking, embeddings, retrieval) using"vector databases"such as"Amazon OpenSearch Serverless (vector search)"or"Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set"prompt, context, and token budget"standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:"SQL Server,"PostgreSQL,"MongoDB, including"schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern"EDW/ Lakehouse/ODS"patterns; integrate with".NET/C#"services and"Angular"frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define"API and data contract standards"(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for".NET/C#"and"Angular"consumers. Orchestrate ingestion from"SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,"MSK/Kinesis,"DMS,"Glue). Partner with Solution/Platform Architects to ensure"microservices"and"event driven"designs are data efficient and observability ready. Data Governance, Quality & Observability Implement"data governance"(policies, stewardship, data classification),"cataloging"(Glue Data Catalog),"lineage"(Open Lineage compatible), and"quality"(rules, thresholds, SLAs/SLOs). Embed"monitoring & cost governance"(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with"data minimization, tokenization, masking, and"access controls"across environments. Define secure patterns for"model inputs/outputs"(LLM safety),"prompt hygiene, and"guardrails"to prevent leakage or misuse. Delivery Leadership & Collaboration Produce"architecture blueprints, target state designs, and"build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead"design reviews,"threat modeling, and"cost/performance"reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of"engineering excellence"and"learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,"AWS Data Analytics/Solutions Architect preferred). 10+ years"designing and delivering enterprise data solutions, including"hands-on"work with both"traditional DBMS"and"cloud native"data platforms. 5+ years"building on cloud platforms"with production experience in several of:"S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale. Proven track record supporting"AI/ML"workloads (feature stores, model data pipelines) and delivering"RAG"solutions with vector search on AWS. Strong"SQL"and"Python; proficiency in"data modeling"-"IFC (preferred),"3NF, dimensional/star, data vault, etc. DBMS:"SQL Server,"PostgreSQL"(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:"Spark/EMR,"Glue"(ETL/ELT & Studio),"Airflow/Step Functions"orchestration," Parquet/Delta/Iceberg. Streaming/CDC:"MSK/Kinesis,"DMS"(change data capture),"event driven"patterns. Security & Governance:"IAM,"KMS,"Lake Formation,"Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:"Amazon Bedrock"(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,"prompt design,"token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,"cost controls"(storage/compute), workload rightsizing. DevOps/MLOps/IaC:"Git,"CI/CD"for data pipelines;"Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with"Redshift RA3/Spectrum,"materialized views,"workload management, and federated queries (Athena/Glue). Familiarity with"Power BI"/"Microsoft Fabric"and"Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies"(anonymization, differential privacy),"policy as code, and"guardrail"frameworks. Experience working with"geographically distributed teams"and"regulated data. Strategic thinking with the ability to balance short-term increments"and"long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
Location: Wilmington, DE (Hybrid - 2 days onsite) OR Columbus, OH / Houston, TX (Onsite - 5 days onsite)Hours: Full-timeDuration: 4 month contract with potential to convert to FTECompensation Range: $45.00 - $50.00/hr W2An enterprise Corporate Website Management (CWM) team is seeking a Senior Web Developer to lead enterprise corporate website development. Operating like an internal agency, this team manages the design, implementation, testing, content production, data analytics, and overall health of major global corporate sites.In this role, you will drive innovation and operational excellence across corporate web channels through modern engineering practices and AI-enabled software delivery. You will work closely with business stakeholders to translate requirements into technical designs, delivery plans, and forward-looking web strategies.No C2C or sponsorships at this time.ResponsibilitiesCMS & Front-End Development: Develop and implement components, templates, and workflows in an enterprise web content management platform (AEM highly desired). Build user interfaces using modern JavaScript (ES6+), HTML5, CSS3/SASS, and scalable front-end patterns.AI-Enabled SDLC: Apply AI to improve delivery outcomes by designing effective prompts and building/testing developer assistants and agentic workflows that accelerate code build, quality checks, and automated testing within Jenkins/GitHub pipelines.Design Integration: Work from Figma wireframes and functional requirements to create accessible, responsive web interfaces.Systems Integration: Collaborate with technology teams to integrate web interfaces with back-end systems and RESTful services.Optimization & Maintenance: Optimize websites for speed, scalability, SEO, and performance using measurable quality targets. Manage day-to-day website updates, production releases, asset trafficking, and code changes.Operations & Security: Participate in application deployment, performance monitoring, and operational issue resolution, incorporating automation, AI-assisted analysis, and standard cybersecurity scanning/remediation.Qualifications:Strong foundation in front-end web development for enterprise web experiences with in-depth knowledge of HTML5, CSS3 (SASS/Less preferred), and JavaScript (ES6+); jQuery and/or TypeScript is a plus.Experience with AI prompt engineering and building/refining assistants or agents to support software development workflows (e.g., code generation, code review support, test creation, defect triage, and CI quality gates).Ability to integrate AI-assisted workflows into engineering processes and toolchains (e.g., Jenkins/GitHub) with a focus on repeatability and speed to market.Experience with enterprise WCM/CMS concepts (components, templates, content models, workflows); Adobe Experience Manager (AEM) experience is highly desired.Experience creating models and/or services in Java (11+) or similar languages (C#, JavaScript, etc.).Proficiency in RESTful APIs and asynchronous request handling (AJAX, partial page updates) along with experience using Node.js (16+) and Webpack (4/5).Strong communication, collaboration, and stakeholder-management skills, with the ability to coach peers on practical AI-enabled SDLC adoption.Pre-Employment Requirements: Must be able to submit to and pass both a background check and drug screen.Sponsorship: No sponsorship or C2C arrangements can be considered at this time.Note for Conversion: Candidates must provide their Full-Time Employee (FTE) salary expectations on their resume to be considered for conversion.Preferred Skills:Hands-on experience delivering production solutions in AEM (components, templating, workflows, publishing).Experience building or operationalizing agentic automation for software delivery with clear human oversight.Experience integrating quality controls into Jenkins/GitHub workflows (automated test execution, quality gates, release validation).Knowledge of automated testing approaches/frameworks and performance engineering (Core Web Vitals-style optimization, caching strategies).Working knowledge of accessibility practices and standards (WCAG-aligned implementation).Experience with JavaScript frameworks such as React, Angular, or Vue.JOBID: 60 Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Cella, a randstad digital company, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Cella by randstad digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days.
07/28/2026
Full time
Location: Wilmington, DE (Hybrid - 2 days onsite) OR Columbus, OH / Houston, TX (Onsite - 5 days onsite)Hours: Full-timeDuration: 4 month contract with potential to convert to FTECompensation Range: $45.00 - $50.00/hr W2An enterprise Corporate Website Management (CWM) team is seeking a Senior Web Developer to lead enterprise corporate website development. Operating like an internal agency, this team manages the design, implementation, testing, content production, data analytics, and overall health of major global corporate sites.In this role, you will drive innovation and operational excellence across corporate web channels through modern engineering practices and AI-enabled software delivery. You will work closely with business stakeholders to translate requirements into technical designs, delivery plans, and forward-looking web strategies.No C2C or sponsorships at this time.ResponsibilitiesCMS & Front-End Development: Develop and implement components, templates, and workflows in an enterprise web content management platform (AEM highly desired). Build user interfaces using modern JavaScript (ES6+), HTML5, CSS3/SASS, and scalable front-end patterns.AI-Enabled SDLC: Apply AI to improve delivery outcomes by designing effective prompts and building/testing developer assistants and agentic workflows that accelerate code build, quality checks, and automated testing within Jenkins/GitHub pipelines.Design Integration: Work from Figma wireframes and functional requirements to create accessible, responsive web interfaces.Systems Integration: Collaborate with technology teams to integrate web interfaces with back-end systems and RESTful services.Optimization & Maintenance: Optimize websites for speed, scalability, SEO, and performance using measurable quality targets. Manage day-to-day website updates, production releases, asset trafficking, and code changes.Operations & Security: Participate in application deployment, performance monitoring, and operational issue resolution, incorporating automation, AI-assisted analysis, and standard cybersecurity scanning/remediation.Qualifications:Strong foundation in front-end web development for enterprise web experiences with in-depth knowledge of HTML5, CSS3 (SASS/Less preferred), and JavaScript (ES6+); jQuery and/or TypeScript is a plus.Experience with AI prompt engineering and building/refining assistants or agents to support software development workflows (e.g., code generation, code review support, test creation, defect triage, and CI quality gates).Ability to integrate AI-assisted workflows into engineering processes and toolchains (e.g., Jenkins/GitHub) with a focus on repeatability and speed to market.Experience with enterprise WCM/CMS concepts (components, templates, content models, workflows); Adobe Experience Manager (AEM) experience is highly desired.Experience creating models and/or services in Java (11+) or similar languages (C#, JavaScript, etc.).Proficiency in RESTful APIs and asynchronous request handling (AJAX, partial page updates) along with experience using Node.js (16+) and Webpack (4/5).Strong communication, collaboration, and stakeholder-management skills, with the ability to coach peers on practical AI-enabled SDLC adoption.Pre-Employment Requirements: Must be able to submit to and pass both a background check and drug screen.Sponsorship: No sponsorship or C2C arrangements can be considered at this time.Note for Conversion: Candidates must provide their Full-Time Employee (FTE) salary expectations on their resume to be considered for conversion.Preferred Skills:Hands-on experience delivering production solutions in AEM (components, templating, workflows, publishing).Experience building or operationalizing agentic automation for software delivery with clear human oversight.Experience integrating quality controls into Jenkins/GitHub workflows (automated test execution, quality gates, release validation).Knowledge of automated testing approaches/frameworks and performance engineering (Core Web Vitals-style optimization, caching strategies).Working knowledge of accessibility practices and standards (WCAG-aligned implementation).Experience with JavaScript frameworks such as React, Angular, or Vue.JOBID: 60 Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Cella, a randstad digital company, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Cella by randstad digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days.
Job Summary: This senior level employee is primarily responsible for translating business requirements and functional specifications into software solutions, for contributing to and leveraging the technical direction for the development of integrated business and/or enterprise application solutions, and for serving as a technical expert for project teams while providing consultation to help ensure new and existing software solutions are developed. Essential Responsibilities: Conducts or oversees business-specific projects by applying deep expertise in subject area; promoting adherence to all procedures and policies; developing work plans to meet business priorities and deadlines; determining and carrying out processes and methodologies; coordinating and delegating resources to accomplish organizational goals; partnering internally and externally to make effective business decisions; solving complex problems; escalating issues or risks, as appropriate; monitoring progress and results; recognizing and capitalizing on improvement opportunities; evaluating recommendations made; and influencing the completion of project tasks by others. Practices self-leadership and promotes learning in others by building relationships with cross-functional stakeholders; communicating information and providing advice to drive projects forward; influencing team members within assigned unit; listening and responding to, seeking, and addressing performance feedback; adapting to competing demands and new responsibilities; providing feedback to others, including upward feedback to leadership and mentoring junior team members; creating and executing plans to capitalize on strengths and improve opportunity areas; and adapting to and learning from change, difficulties, and feedback. As part of the IT Engineering job family, this position is responsible for leveraging DEVOPS, and both Waterfall and Agile practices, to design, develop, and deliver resilient, secure, multi-channel, high-volume, high-transaction, on/off-premise, cloud-based solutions. Provides insight into recommendations for technical solutions that meet design and functional needs. Translates business requirements and functional specifications into physical program designs, code modules, stable application systems, and software solutions by partnering with Business Analysts and other team members to understand business needs and functional specifications. Ensures appropriate translation of business requirements and functional specifications into physical program designs, code modules, stable application systems, and software solutions by partnering with Business Analysts and other team members to understand business needs and functional specifications. Serves as an expert for innovative technical solutions that meet design and functional needs. Facilitates and serves as a technical expert for project teams throughout the release schedule of business and enterprise software solutions. Builds and maintains trusting relationships with internal customers, third party vendors, and senior management to ensure the alignment, buy-in, and support of diverse project stakeholders. Recommends complex technical solutions that meet design and functional needs. Collaborates with architects and/or software consultants to ensure functional specifications are converted into flexible, scalable, and maintainable solution designs. Provides expertise and guidance to team members for systems incident responses for complex issues. Provides implementation and post-implementation triage and support of business software solutions by programming and/or configuring enhancements to new or packaged-based systems and applications. Reviews and validates technical specifications and documentation. Identifies specific interfaces, methods, parameters, procedures, and functions to support technical solutions while incorporating architectural designs. Supports component integration testing (CIT) and user acceptance testing (UAT) for application initiatives by providing triage, attending test team meetings, keeping the QC up-to-date, performing fixes and unit testing, providing insight to testing teams in order to ensure the appropriate depth of test coverage, and supporting the development of proper documentation. Leads systems incident support and troubleshooting for complex and non-complex issues. Identifies specific interfaces, methods, parameters, procedures, and functions, as required, to support technical solutions serving as an escalation point for complex or unresolved issues related to requirements translation. Develops and validates complex testing scenarios to identify application errors and ensure software solutions meet functional specifications. Participates in all software development lifecycle phases by applying comprehensive understanding of company methodology, policies, standards, and internal and external controls. Develops, configures, or modifies basic to moderately complex integrated business and/or enterprise application solutions within various computing environments by designing and coding component-based applications using programming languages. Provides consultation to help ensure new and existing software solutions are developed with insight into industry best practices, strategies, and architectures. Builds partnerships with IT teams and vendors to ensure written code adheres to company architectural standards, design patterns, and technical specifications. Leads the development, validation, and execution of testing scenarios to identify application errors and ensure software solutions meet functional specifications. Leads, mentors, and trains other technical resources to develop software applications. Minimum Qualifications: Minimum five (5) years experience working on project(s) involving the implementation of solutions applying development life cycles (e.g., SDLC). Minimum two (2) years in a technical leadership role with or without direct reports. Bachelors degree in Computer Science, CIS, or related field and Minimum eight (8) years experience in software development or a related field. Additional equivalent work experience may be substituted for the degree requirement.
07/28/2026
Job Summary: This senior level employee is primarily responsible for translating business requirements and functional specifications into software solutions, for contributing to and leveraging the technical direction for the development of integrated business and/or enterprise application solutions, and for serving as a technical expert for project teams while providing consultation to help ensure new and existing software solutions are developed. Essential Responsibilities: Conducts or oversees business-specific projects by applying deep expertise in subject area; promoting adherence to all procedures and policies; developing work plans to meet business priorities and deadlines; determining and carrying out processes and methodologies; coordinating and delegating resources to accomplish organizational goals; partnering internally and externally to make effective business decisions; solving complex problems; escalating issues or risks, as appropriate; monitoring progress and results; recognizing and capitalizing on improvement opportunities; evaluating recommendations made; and influencing the completion of project tasks by others. Practices self-leadership and promotes learning in others by building relationships with cross-functional stakeholders; communicating information and providing advice to drive projects forward; influencing team members within assigned unit; listening and responding to, seeking, and addressing performance feedback; adapting to competing demands and new responsibilities; providing feedback to others, including upward feedback to leadership and mentoring junior team members; creating and executing plans to capitalize on strengths and improve opportunity areas; and adapting to and learning from change, difficulties, and feedback. As part of the IT Engineering job family, this position is responsible for leveraging DEVOPS, and both Waterfall and Agile practices, to design, develop, and deliver resilient, secure, multi-channel, high-volume, high-transaction, on/off-premise, cloud-based solutions. Provides insight into recommendations for technical solutions that meet design and functional needs. Translates business requirements and functional specifications into physical program designs, code modules, stable application systems, and software solutions by partnering with Business Analysts and other team members to understand business needs and functional specifications. Ensures appropriate translation of business requirements and functional specifications into physical program designs, code modules, stable application systems, and software solutions by partnering with Business Analysts and other team members to understand business needs and functional specifications. Serves as an expert for innovative technical solutions that meet design and functional needs. Facilitates and serves as a technical expert for project teams throughout the release schedule of business and enterprise software solutions. Builds and maintains trusting relationships with internal customers, third party vendors, and senior management to ensure the alignment, buy-in, and support of diverse project stakeholders. Recommends complex technical solutions that meet design and functional needs. Collaborates with architects and/or software consultants to ensure functional specifications are converted into flexible, scalable, and maintainable solution designs. Provides expertise and guidance to team members for systems incident responses for complex issues. Provides implementation and post-implementation triage and support of business software solutions by programming and/or configuring enhancements to new or packaged-based systems and applications. Reviews and validates technical specifications and documentation. Identifies specific interfaces, methods, parameters, procedures, and functions to support technical solutions while incorporating architectural designs. Supports component integration testing (CIT) and user acceptance testing (UAT) for application initiatives by providing triage, attending test team meetings, keeping the QC up-to-date, performing fixes and unit testing, providing insight to testing teams in order to ensure the appropriate depth of test coverage, and supporting the development of proper documentation. Leads systems incident support and troubleshooting for complex and non-complex issues. Identifies specific interfaces, methods, parameters, procedures, and functions, as required, to support technical solutions serving as an escalation point for complex or unresolved issues related to requirements translation. Develops and validates complex testing scenarios to identify application errors and ensure software solutions meet functional specifications. Participates in all software development lifecycle phases by applying comprehensive understanding of company methodology, policies, standards, and internal and external controls. Develops, configures, or modifies basic to moderately complex integrated business and/or enterprise application solutions within various computing environments by designing and coding component-based applications using programming languages. Provides consultation to help ensure new and existing software solutions are developed with insight into industry best practices, strategies, and architectures. Builds partnerships with IT teams and vendors to ensure written code adheres to company architectural standards, design patterns, and technical specifications. Leads the development, validation, and execution of testing scenarios to identify application errors and ensure software solutions meet functional specifications. Leads, mentors, and trains other technical resources to develop software applications. Minimum Qualifications: Minimum five (5) years experience working on project(s) involving the implementation of solutions applying development life cycles (e.g., SDLC). Minimum two (2) years in a technical leadership role with or without direct reports. Bachelors degree in Computer Science, CIS, or related field and Minimum eight (8) years experience in software development or a related field. Additional equivalent work experience may be substituted for the degree requirement.
Job Description Architect the Future of Enterprise Intelligence The"Senior Data Architect"provides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans"traditional data management"(DBMS, data modeling, warehousing, governance) and"modern cloud native/AI data engineering"on AWS, including"bronze, silver, gold patterns, Generation (RAG)"for LLMs, and data products that serve Cloud-native SaaS"application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into"target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as"S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.," Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement"row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via"IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and"feature/knowledge"layers to support"SageMaker"training/inference and"Amazon Bedrock"applications (e.g.,"Knowledge Bases,"Guardrails,"Agents, and Invoke Model/Converse orchestration). Lead"RAG"architectures (chunking, embeddings, retrieval) using"vector databases"such as"Amazon OpenSearch Serverless (vector search)"or"Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set"prompt, context, and token budget"standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:"SQL Server,"PostgreSQL,"MongoDB, including"schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern"EDW/ Lakehouse/ODS"patterns; integrate with".NET/C#"services and"Angular"frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define"API and data contract standards"(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for".NET/C#"and"Angular"consumers. Orchestrate ingestion from"SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,"MSK/Kinesis,"DMS,"Glue). Partner with Solution/Platform Architects to ensure"microservices"and"event driven"designs are data efficient and observability ready. Data Governance, Quality & Observability Implement"data governance"(policies, stewardship, data classification),"cataloging"(Glue Data Catalog),"lineage"(Open Lineage compatible), and"quality"(rules, thresholds, SLAs/SLOs). Embed"monitoring & cost governance"(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with"data minimization, tokenization, masking, and"access controls"across environments. Define secure patterns for"model inputs/outputs"(LLM safety),"prompt hygiene, and"guardrails"to prevent leakage or misuse. Delivery Leadership & Collaboration Produce"architecture blueprints, target state designs, and"build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead"design reviews,"threat modeling, and"cost/performance"reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of"engineering excellence"and"learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,"AWS Data Analytics/Solutions Architect preferred). 10+ years"designing and delivering enterprise data solutions, including"hands-on"work with both"traditional DBMS"and"cloud native"data platforms. 5+ years"building on cloud platforms"with production experience in several of:"S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale. Proven track record supporting"AI/ML"workloads (feature stores, model data pipelines) and delivering"RAG"solutions with vector search on AWS. Strong"SQL"and"Python; proficiency in"data modeling"-"IFC (preferred),"3NF, dimensional/star, data vault, etc. DBMS:"SQL Server,"PostgreSQL"(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:"Spark/EMR,"Glue"(ETL/ELT & Studio),"Airflow/Step Functions"orchestration," Parquet/Delta/Iceberg. Streaming/CDC:"MSK/Kinesis,"DMS"(change data capture),"event driven"patterns. Security & Governance:"IAM,"KMS,"Lake Formation,"Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:"Amazon Bedrock"(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,"prompt design,"token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,"cost controls"(storage/compute), workload rightsizing. DevOps/MLOps/IaC:"Git,"CI/CD"for data pipelines;"Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with"Redshift RA3/Spectrum,"materialized views,"workload management, and federated queries (Athena/Glue). Familiarity with"Power BI"/"Microsoft Fabric"and"Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies"(anonymization, differential privacy),"policy as code, and"guardrail"frameworks. Experience working with"geographically distributed teams"and"regulated data. Strategic thinking with the ability to balance short-term increments"and"long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
07/28/2026
Full time
Job Description Architect the Future of Enterprise Intelligence The"Senior Data Architect"provides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans"traditional data management"(DBMS, data modeling, warehousing, governance) and"modern cloud native/AI data engineering"on AWS, including"bronze, silver, gold patterns, Generation (RAG)"for LLMs, and data products that serve Cloud-native SaaS"application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into"target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as"S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.," Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement"row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via"IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and"feature/knowledge"layers to support"SageMaker"training/inference and"Amazon Bedrock"applications (e.g.,"Knowledge Bases,"Guardrails,"Agents, and Invoke Model/Converse orchestration). Lead"RAG"architectures (chunking, embeddings, retrieval) using"vector databases"such as"Amazon OpenSearch Serverless (vector search)"or"Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set"prompt, context, and token budget"standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:"SQL Server,"PostgreSQL,"MongoDB, including"schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern"EDW/ Lakehouse/ODS"patterns; integrate with".NET/C#"services and"Angular"frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define"API and data contract standards"(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for".NET/C#"and"Angular"consumers. Orchestrate ingestion from"SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,"MSK/Kinesis,"DMS,"Glue). Partner with Solution/Platform Architects to ensure"microservices"and"event driven"designs are data efficient and observability ready. Data Governance, Quality & Observability Implement"data governance"(policies, stewardship, data classification),"cataloging"(Glue Data Catalog),"lineage"(Open Lineage compatible), and"quality"(rules, thresholds, SLAs/SLOs). Embed"monitoring & cost governance"(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with"data minimization, tokenization, masking, and"access controls"across environments. Define secure patterns for"model inputs/outputs"(LLM safety),"prompt hygiene, and"guardrails"to prevent leakage or misuse. Delivery Leadership & Collaboration Produce"architecture blueprints, target state designs, and"build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead"design reviews,"threat modeling, and"cost/performance"reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of"engineering excellence"and"learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,"AWS Data Analytics/Solutions Architect preferred). 10+ years"designing and delivering enterprise data solutions, including"hands-on"work with both"traditional DBMS"and"cloud native"data platforms. 5+ years"building on cloud platforms"with production experience in several of:"S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale. Proven track record supporting"AI/ML"workloads (feature stores, model data pipelines) and delivering"RAG"solutions with vector search on AWS. Strong"SQL"and"Python; proficiency in"data modeling"-"IFC (preferred),"3NF, dimensional/star, data vault, etc. DBMS:"SQL Server,"PostgreSQL"(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:"Spark/EMR,"Glue"(ETL/ELT & Studio),"Airflow/Step Functions"orchestration," Parquet/Delta/Iceberg. Streaming/CDC:"MSK/Kinesis,"DMS"(change data capture),"event driven"patterns. Security & Governance:"IAM,"KMS,"Lake Formation,"Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:"Amazon Bedrock"(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,"prompt design,"token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,"cost controls"(storage/compute), workload rightsizing. DevOps/MLOps/IaC:"Git,"CI/CD"for data pipelines;"Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with"Redshift RA3/Spectrum,"materialized views,"workload management, and federated queries (Athena/Glue). Familiarity with"Power BI"/"Microsoft Fabric"and"Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies"(anonymization, differential privacy),"policy as code, and"guardrail"frameworks. Experience working with"geographically distributed teams"and"regulated data. Strategic thinking with the ability to balance short-term increments"and"long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
Job Description Architect the Future of Enterprise Intelligence The"Senior Data Architect"provides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans"traditional data management"(DBMS, data modeling, warehousing, governance) and"modern cloud native/AI data engineering"on AWS, including"bronze, silver, gold patterns, Generation (RAG)"for LLMs, and data products that serve Cloud-native SaaS"application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into"target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as"S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.," Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement"row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via"IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and"feature/knowledge"layers to support"SageMaker"training/inference and"Amazon Bedrock"applications (e.g.,"Knowledge Bases,"Guardrails,"Agents, and Invoke Model/Converse orchestration). Lead"RAG"architectures (chunking, embeddings, retrieval) using"vector databases"such as"Amazon OpenSearch Serverless (vector search)"or"Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set"prompt, context, and token budget"standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:"SQL Server,"PostgreSQL,"MongoDB, including"schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern"EDW/ Lakehouse/ODS"patterns; integrate with".NET/C#"services and"Angular"frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define"API and data contract standards"(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for".NET/C#"and"Angular"consumers. Orchestrate ingestion from"SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,"MSK/Kinesis,"DMS,"Glue). Partner with Solution/Platform Architects to ensure"microservices"and"event driven"designs are data efficient and observability ready. Data Governance, Quality & Observability Implement"data governance"(policies, stewardship, data classification),"cataloging"(Glue Data Catalog),"lineage"(Open Lineage compatible), and"quality"(rules, thresholds, SLAs/SLOs). Embed"monitoring & cost governance"(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with"data minimization, tokenization, masking, and"access controls"across environments. Define secure patterns for"model inputs/outputs"(LLM safety),"prompt hygiene, and"guardrails"to prevent leakage or misuse. Delivery Leadership & Collaboration Produce"architecture blueprints, target state designs, and"build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead"design reviews,"threat modeling, and"cost/performance"reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of"engineering excellence"and"learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,"AWS Data Analytics/Solutions Architect preferred). 10+ years"designing and delivering enterprise data solutions, including"hands-on"work with both"traditional DBMS"and"cloud native"data platforms. 5+ years"building on cloud platforms"with production experience in several of:"S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale. Proven track record supporting"AI/ML"workloads (feature stores, model data pipelines) and delivering"RAG"solutions with vector search on AWS. Strong"SQL"and"Python; proficiency in"data modeling"-"IFC (preferred),"3NF, dimensional/star, data vault, etc. DBMS:"SQL Server,"PostgreSQL"(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:"Spark/EMR,"Glue"(ETL/ELT & Studio),"Airflow/Step Functions"orchestration," Parquet/Delta/Iceberg. Streaming/CDC:"MSK/Kinesis,"DMS"(change data capture),"event driven"patterns. Security & Governance:"IAM,"KMS,"Lake Formation,"Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:"Amazon Bedrock"(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,"prompt design,"token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,"cost controls"(storage/compute), workload rightsizing. DevOps/MLOps/IaC:"Git,"CI/CD"for data pipelines;"Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with"Redshift RA3/Spectrum,"materialized views,"workload management, and federated queries (Athena/Glue). Familiarity with"Power BI"/"Microsoft Fabric"and"Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies"(anonymization, differential privacy),"policy as code, and"guardrail"frameworks. Experience working with"geographically distributed teams"and"regulated data. Strategic thinking with the ability to balance short-term increments"and"long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
07/28/2026
Full time
Job Description Architect the Future of Enterprise Intelligence The"Senior Data Architect"provides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans"traditional data management"(DBMS, data modeling, warehousing, governance) and"modern cloud native/AI data engineering"on AWS, including"bronze, silver, gold patterns, Generation (RAG)"for LLMs, and data products that serve Cloud-native SaaS"application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into"target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as"S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.," Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement"row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via"IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and"feature/knowledge"layers to support"SageMaker"training/inference and"Amazon Bedrock"applications (e.g.,"Knowledge Bases,"Guardrails,"Agents, and Invoke Model/Converse orchestration). Lead"RAG"architectures (chunking, embeddings, retrieval) using"vector databases"such as"Amazon OpenSearch Serverless (vector search)"or"Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set"prompt, context, and token budget"standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:"SQL Server,"PostgreSQL,"MongoDB, including"schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern"EDW/ Lakehouse/ODS"patterns; integrate with".NET/C#"services and"Angular"frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define"API and data contract standards"(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for".NET/C#"and"Angular"consumers. Orchestrate ingestion from"SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,"MSK/Kinesis,"DMS,"Glue). Partner with Solution/Platform Architects to ensure"microservices"and"event driven"designs are data efficient and observability ready. Data Governance, Quality & Observability Implement"data governance"(policies, stewardship, data classification),"cataloging"(Glue Data Catalog),"lineage"(Open Lineage compatible), and"quality"(rules, thresholds, SLAs/SLOs). Embed"monitoring & cost governance"(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with"data minimization, tokenization, masking, and"access controls"across environments. Define secure patterns for"model inputs/outputs"(LLM safety),"prompt hygiene, and"guardrails"to prevent leakage or misuse. Delivery Leadership & Collaboration Produce"architecture blueprints, target state designs, and"build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead"design reviews,"threat modeling, and"cost/performance"reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of"engineering excellence"and"learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,"AWS Data Analytics/Solutions Architect preferred). 10+ years"designing and delivering enterprise data solutions, including"hands-on"work with both"traditional DBMS"and"cloud native"data platforms. 5+ years"building on cloud platforms"with production experience in several of:"S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale. Proven track record supporting"AI/ML"workloads (feature stores, model data pipelines) and delivering"RAG"solutions with vector search on AWS. Strong"SQL"and"Python; proficiency in"data modeling"-"IFC (preferred),"3NF, dimensional/star, data vault, etc. DBMS:"SQL Server,"PostgreSQL"(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:"Spark/EMR,"Glue"(ETL/ELT & Studio),"Airflow/Step Functions"orchestration," Parquet/Delta/Iceberg. Streaming/CDC:"MSK/Kinesis,"DMS"(change data capture),"event driven"patterns. Security & Governance:"IAM,"KMS,"Lake Formation,"Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:"Amazon Bedrock"(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,"prompt design,"token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,"cost controls"(storage/compute), workload rightsizing. DevOps/MLOps/IaC:"Git,"CI/CD"for data pipelines;"Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with"Redshift RA3/Spectrum,"materialized views,"workload management, and federated queries (Athena/Glue). Familiarity with"Power BI"/"Microsoft Fabric"and"Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies"(anonymization, differential privacy),"policy as code, and"guardrail"frameworks. Experience working with"geographically distributed teams"and"regulated data. Strategic thinking with the ability to balance short-term increments"and"long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
Job Description Architect the Future of Enterprise Intelligence The"Senior Data Architect"provides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans"traditional data management"(DBMS, data modeling, warehousing, governance) and"modern cloud native/AI data engineering"on AWS, including"bronze, silver, gold patterns, Generation (RAG)"for LLMs, and data products that serve Cloud-native SaaS"application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into"target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as"S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.," Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement"row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via"IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and"feature/knowledge"layers to support"SageMaker"training/inference and"Amazon Bedrock"applications (e.g.,"Knowledge Bases,"Guardrails,"Agents, and Invoke Model/Converse orchestration). Lead"RAG"architectures (chunking, embeddings, retrieval) using"vector databases"such as"Amazon OpenSearch Serverless (vector search)"or"Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set"prompt, context, and token budget"standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:"SQL Server,"PostgreSQL,"MongoDB, including"schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern"EDW/ Lakehouse/ODS"patterns; integrate with".NET/C#"services and"Angular"frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define"API and data contract standards"(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for".NET/C#"and"Angular"consumers. Orchestrate ingestion from"SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,"MSK/Kinesis,"DMS,"Glue). Partner with Solution/Platform Architects to ensure"microservices"and"event driven"designs are data efficient and observability ready. Data Governance, Quality & Observability Implement"data governance"(policies, stewardship, data classification),"cataloging"(Glue Data Catalog),"lineage"(Open Lineage compatible), and"quality"(rules, thresholds, SLAs/SLOs). Embed"monitoring & cost governance"(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with"data minimization, tokenization, masking, and"access controls"across environments. Define secure patterns for"model inputs/outputs"(LLM safety),"prompt hygiene, and"guardrails"to prevent leakage or misuse. Delivery Leadership & Collaboration Produce"architecture blueprints, target state designs, and"build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead"design reviews,"threat modeling, and"cost/performance"reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of"engineering excellence"and"learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,"AWS Data Analytics/Solutions Architect preferred). 10+ years"designing and delivering enterprise data solutions, including"hands-on"work with both"traditional DBMS"and"cloud native"data platforms. 5+ years"building on cloud platforms"with production experience in several of:"S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale. Proven track record supporting"AI/ML"workloads (feature stores, model data pipelines) and delivering"RAG"solutions with vector search on AWS. Strong"SQL"and"Python; proficiency in"data modeling"-"IFC (preferred),"3NF, dimensional/star, data vault, etc. DBMS:"SQL Server,"PostgreSQL"(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:"Spark/EMR,"Glue"(ETL/ELT & Studio),"Airflow/Step Functions"orchestration," Parquet/Delta/Iceberg. Streaming/CDC:"MSK/Kinesis,"DMS"(change data capture),"event driven"patterns. Security & Governance:"IAM,"KMS,"Lake Formation,"Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:"Amazon Bedrock"(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,"prompt design,"token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,"cost controls"(storage/compute), workload rightsizing. DevOps/MLOps/IaC:"Git,"CI/CD"for data pipelines;"Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with"Redshift RA3/Spectrum,"materialized views,"workload management, and federated queries (Athena/Glue). Familiarity with"Power BI"/"Microsoft Fabric"and"Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies"(anonymization, differential privacy),"policy as code, and"guardrail"frameworks. Experience working with"geographically distributed teams"and"regulated data. Strategic thinking with the ability to balance short-term increments"and"long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
07/28/2026
Full time
Job Description Architect the Future of Enterprise Intelligence The"Senior Data Architect"provides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans"traditional data management"(DBMS, data modeling, warehousing, governance) and"modern cloud native/AI data engineering"on AWS, including"bronze, silver, gold patterns, Generation (RAG)"for LLMs, and data products that serve Cloud-native SaaS"application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into"target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as"S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.," Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement"row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via"IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and"feature/knowledge"layers to support"SageMaker"training/inference and"Amazon Bedrock"applications (e.g.,"Knowledge Bases,"Guardrails,"Agents, and Invoke Model/Converse orchestration). Lead"RAG"architectures (chunking, embeddings, retrieval) using"vector databases"such as"Amazon OpenSearch Serverless (vector search)"or"Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set"prompt, context, and token budget"standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:"SQL Server,"PostgreSQL,"MongoDB, including"schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern"EDW/ Lakehouse/ODS"patterns; integrate with".NET/C#"services and"Angular"frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define"API and data contract standards"(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for".NET/C#"and"Angular"consumers. Orchestrate ingestion from"SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,"MSK/Kinesis,"DMS,"Glue). Partner with Solution/Platform Architects to ensure"microservices"and"event driven"designs are data efficient and observability ready. Data Governance, Quality & Observability Implement"data governance"(policies, stewardship, data classification),"cataloging"(Glue Data Catalog),"lineage"(Open Lineage compatible), and"quality"(rules, thresholds, SLAs/SLOs). Embed"monitoring & cost governance"(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with"data minimization, tokenization, masking, and"access controls"across environments. Define secure patterns for"model inputs/outputs"(LLM safety),"prompt hygiene, and"guardrails"to prevent leakage or misuse. Delivery Leadership & Collaboration Produce"architecture blueprints, target state designs, and"build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead"design reviews,"threat modeling, and"cost/performance"reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of"engineering excellence"and"learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,"AWS Data Analytics/Solutions Architect preferred). 10+ years"designing and delivering enterprise data solutions, including"hands-on"work with both"traditional DBMS"and"cloud native"data platforms. 5+ years"building on cloud platforms"with production experience in several of:"S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale. Proven track record supporting"AI/ML"workloads (feature stores, model data pipelines) and delivering"RAG"solutions with vector search on AWS. Strong"SQL"and"Python; proficiency in"data modeling"-"IFC (preferred),"3NF, dimensional/star, data vault, etc. DBMS:"SQL Server,"PostgreSQL"(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:"Spark/EMR,"Glue"(ETL/ELT & Studio),"Airflow/Step Functions"orchestration," Parquet/Delta/Iceberg. Streaming/CDC:"MSK/Kinesis,"DMS"(change data capture),"event driven"patterns. Security & Governance:"IAM,"KMS,"Lake Formation,"Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:"Amazon Bedrock"(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,"prompt design,"token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,"cost controls"(storage/compute), workload rightsizing. DevOps/MLOps/IaC:"Git,"CI/CD"for data pipelines;"Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with"Redshift RA3/Spectrum,"materialized views,"workload management, and federated queries (Athena/Glue). Familiarity with"Power BI"/"Microsoft Fabric"and"Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies"(anonymization, differential privacy),"policy as code, and"guardrail"frameworks. Experience working with"geographically distributed teams"and"regulated data. Strategic thinking with the ability to balance short-term increments"and"long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
Job Description Architect the Future of Enterprise Intelligence The"Senior Data Architect"provides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans"traditional data management"(DBMS, data modeling, warehousing, governance) and"modern cloud native/AI data engineering"on AWS, including"bronze, silver, gold patterns, Generation (RAG)"for LLMs, and data products that serve Cloud-native SaaS"application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into"target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as"S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.," Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement"row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via"IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and"feature/knowledge"layers to support"SageMaker"training/inference and"Amazon Bedrock"applications (e.g.,"Knowledge Bases,"Guardrails,"Agents, and Invoke Model/Converse orchestration). Lead"RAG"architectures (chunking, embeddings, retrieval) using"vector databases"such as"Amazon OpenSearch Serverless (vector search)"or"Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set"prompt, context, and token budget"standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:"SQL Server,"PostgreSQL,"MongoDB, including"schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern"EDW/ Lakehouse/ODS"patterns; integrate with".NET/C#"services and"Angular"frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define"API and data contract standards"(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for".NET/C#"and"Angular"consumers. Orchestrate ingestion from"SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,"MSK/Kinesis,"DMS,"Glue). Partner with Solution/Platform Architects to ensure"microservices"and"event driven"designs are data efficient and observability ready. Data Governance, Quality & Observability Implement"data governance"(policies, stewardship, data classification),"cataloging"(Glue Data Catalog),"lineage"(Open Lineage compatible), and"quality"(rules, thresholds, SLAs/SLOs). Embed"monitoring & cost governance"(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with"data minimization, tokenization, masking, and"access controls"across environments. Define secure patterns for"model inputs/outputs"(LLM safety),"prompt hygiene, and"guardrails"to prevent leakage or misuse. Delivery Leadership & Collaboration Produce"architecture blueprints, target state designs, and"build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead"design reviews,"threat modeling, and"cost/performance"reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of"engineering excellence"and"learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,"AWS Data Analytics/Solutions Architect preferred). 10+ years"designing and delivering enterprise data solutions, including"hands-on"work with both"traditional DBMS"and"cloud native"data platforms. 5+ years"building on cloud platforms"with production experience in several of:"S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale. Proven track record supporting"AI/ML"workloads (feature stores, model data pipelines) and delivering"RAG"solutions with vector search on AWS. Strong"SQL"and"Python; proficiency in"data modeling"-"IFC (preferred),"3NF, dimensional/star, data vault, etc. DBMS:"SQL Server,"PostgreSQL"(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:"Spark/EMR,"Glue"(ETL/ELT & Studio),"Airflow/Step Functions"orchestration," Parquet/Delta/Iceberg. Streaming/CDC:"MSK/Kinesis,"DMS"(change data capture),"event driven"patterns. Security & Governance:"IAM,"KMS,"Lake Formation,"Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:"Amazon Bedrock"(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,"prompt design,"token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,"cost controls"(storage/compute), workload rightsizing. DevOps/MLOps/IaC:"Git,"CI/CD"for data pipelines;"Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with"Redshift RA3/Spectrum,"materialized views,"workload management, and federated queries (Athena/Glue). Familiarity with"Power BI"/"Microsoft Fabric"and"Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies"(anonymization, differential privacy),"policy as code, and"guardrail"frameworks. Experience working with"geographically distributed teams"and"regulated data. Strategic thinking with the ability to balance short-term increments"and"long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
07/28/2026
Full time
Job Description Architect the Future of Enterprise Intelligence The"Senior Data Architect"provides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans"traditional data management"(DBMS, data modeling, warehousing, governance) and"modern cloud native/AI data engineering"on AWS, including"bronze, silver, gold patterns, Generation (RAG)"for LLMs, and data products that serve Cloud-native SaaS"application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into"target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as"S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.," Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement"row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via"IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and"feature/knowledge"layers to support"SageMaker"training/inference and"Amazon Bedrock"applications (e.g.,"Knowledge Bases,"Guardrails,"Agents, and Invoke Model/Converse orchestration). Lead"RAG"architectures (chunking, embeddings, retrieval) using"vector databases"such as"Amazon OpenSearch Serverless (vector search)"or"Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set"prompt, context, and token budget"standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:"SQL Server,"PostgreSQL,"MongoDB, including"schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern"EDW/ Lakehouse/ODS"patterns; integrate with".NET/C#"services and"Angular"frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define"API and data contract standards"(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for".NET/C#"and"Angular"consumers. Orchestrate ingestion from"SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,"MSK/Kinesis,"DMS,"Glue). Partner with Solution/Platform Architects to ensure"microservices"and"event driven"designs are data efficient and observability ready. Data Governance, Quality & Observability Implement"data governance"(policies, stewardship, data classification),"cataloging"(Glue Data Catalog),"lineage"(Open Lineage compatible), and"quality"(rules, thresholds, SLAs/SLOs). Embed"monitoring & cost governance"(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with"data minimization, tokenization, masking, and"access controls"across environments. Define secure patterns for"model inputs/outputs"(LLM safety),"prompt hygiene, and"guardrails"to prevent leakage or misuse. Delivery Leadership & Collaboration Produce"architecture blueprints, target state designs, and"build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead"design reviews,"threat modeling, and"cost/performance"reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of"engineering excellence"and"learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,"AWS Data Analytics/Solutions Architect preferred). 10+ years"designing and delivering enterprise data solutions, including"hands-on"work with both"traditional DBMS"and"cloud native"data platforms. 5+ years"building on cloud platforms"with production experience in several of:"S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale. Proven track record supporting"AI/ML"workloads (feature stores, model data pipelines) and delivering"RAG"solutions with vector search on AWS. Strong"SQL"and"Python; proficiency in"data modeling"-"IFC (preferred),"3NF, dimensional/star, data vault, etc. DBMS:"SQL Server,"PostgreSQL"(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:"Spark/EMR,"Glue"(ETL/ELT & Studio),"Airflow/Step Functions"orchestration," Parquet/Delta/Iceberg. Streaming/CDC:"MSK/Kinesis,"DMS"(change data capture),"event driven"patterns. Security & Governance:"IAM,"KMS,"Lake Formation,"Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:"Amazon Bedrock"(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,"prompt design,"token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,"cost controls"(storage/compute), workload rightsizing. DevOps/MLOps/IaC:"Git,"CI/CD"for data pipelines;"Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with"Redshift RA3/Spectrum,"materialized views,"workload management, and federated queries (Athena/Glue). Familiarity with"Power BI"/"Microsoft Fabric"and"Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies"(anonymization, differential privacy),"policy as code, and"guardrail"frameworks. Experience working with"geographically distributed teams"and"regulated data. Strategic thinking with the ability to balance short-term increments"and"long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
Summary Statement: You will manage a team of developers to help us create the next generation of innovative solutions while also enhancing and optimizing our existing systems and applications. Providing day-to-day management and development for your team, you will manage projects to ensure seamless delivery, implementation, support, and issue resolution. Using your knowledge and experience with technology, you will help guide our organization to implement solutions that will move us forward and keep us ahead of the competition. What You Will Be Doing: As a Penske Manager of Asset Management Systems, you will be leading a team focused on key software development, enhancements, and maintenance. Working with your teams, stakeholders, and development partners/vendors to ensure implementation and help define architecture to create robust solutions. Conducting performance reviews for your team and engineering process for quality assurance to ensure that deliverables are effective and meet the needs of the end-user. Guiding teams and removing roadblocks to ensure timely solutions, as well as growing your team of developers to advance in their careers are key tasks that help make sure, we can keep our organization moving forward. Fostering a partnership with business owners and key stakeholders to get the job done. Penske Responsibilities: Provide direction and day-to-day management of development staff to ensure that any roadblocks are removed, and developers/teams are successfully moving forward Make sure that development projects are prioritized, scheduled, and completed according to business need Foster collaboration by leading regular meetings and communicating with process owners, product managers, agile teams, IT groups, and other stakeholders to negotiate priority and timelines while managing resources required to get the job done Hire new associates, conduct performance reviews, guide, and mentor their career development Ensure on time and defect-free delivery of applications in accordance with Penske standards Responsibilities for multiple systems, agile teams, and cross-functional projects Other projects, teams, and responsibilities as assigned by the manager Follow IT practices in security, licensing, source code management, incident management, and following architectural standards Coach and mentor associates. Develop team members to increase value to the organization Reduce complexity in the environment Identify future opportunities for system enhancement and value generation Penske Qualifications: Bachelor's degree in computer science, Math or Information Systems or equivalent development experience. Green belt, Black belt, Lean or PMP certification preferred. 12+ years of software development experience 5+ years leading/supervising multiple IT projects through the full SDLC (Software Development Life Cycle) including prior work defining complex application architecture and integration with multi-tiered systems Proven experience in leading and managing small to mid-size teams Proven experience in team development and performance management Experience in migrating legacy applications to cloud platforms such as AWS Experience in implementing large scale applications with Event Driven and Domain Driven Architecture patterns Significant functional experience (8+ years) with core Technologies and Architectures - Java Enterprise Technologies, Spring Boot, Spring Frameworks, Restful Web services, SOA, Angular, HTML/CSS, SQL, DB2/Oracle, Kafka, Cloud Technologies Experience in leading teams in custom development, evaluating, selecting, integrating, and implementing application software (package) solutions when appropriate Strong interpersonal and decision-making skills Experience in building and managing relationships with various business and IT Stakeholders Able to communicate highly technical concepts in a clear/concise manner to non-technical individuals Experience in prioritizing technological needs within set budget requirements Knowledge of project management methods and tools Strong experience with Agile (SAFE) / DevOps approaches or methodologies Strong knowledge of Integration technologies like Spring Integration Framework, API Management, Micro-services Expertise in leading the architecture, design & implementation of highly complex data integrations and data services by utilizing technologies such as Spring Boot, Angular, DB2/Oracle Advanced experience in working with the various IT teams to build and implement scalable architecture for relevant software solutions Full fluency and expert-level knowledge in systems/languages applicable to the role Physical Requirements: The physical demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The associate must regularly lift and /or move up to 25lbs/12kg. Specific vision abilities required by this job include Close vision, Distance vision, Peripheral vision, Depth perception and Ability to adjust focus. While performing the duties of this Job, the associate is regularly required to stand; walk; sit and talk or hear. The associate is frequently required to use hands to finger, handle, or feel and reach with hands and arms. Penske is an Equal Opportunity Employer. About Penske Truck Leasing Penske Truck Leasing Co., L.P., headquartered in Reading, Pennsylvania, is a partnership of Penske Corporation, Penske Automotive Group and Mitsui & Co., Ltd. A leading global transportation services provider, Penske operates a premier fleet of vehicles and serves its customers from locations in North America, South America, Europe, Australia, and Asia. Penske's product lines include full-service truck leasing, contract maintenance, commercial and consumer truck rentals, used truck sales, transportation and warehousing management and supply chain management solutions. Visit to learn more. Job Category: Information Technology Job Family: Information Technology Address: 5401 W Kennedy Blvd Ste 650 Primary Location: US-FL-Tampa Employer: Penske Truck Leasing Co., L.P. Req ID:
07/28/2026
Summary Statement: You will manage a team of developers to help us create the next generation of innovative solutions while also enhancing and optimizing our existing systems and applications. Providing day-to-day management and development for your team, you will manage projects to ensure seamless delivery, implementation, support, and issue resolution. Using your knowledge and experience with technology, you will help guide our organization to implement solutions that will move us forward and keep us ahead of the competition. What You Will Be Doing: As a Penske Manager of Asset Management Systems, you will be leading a team focused on key software development, enhancements, and maintenance. Working with your teams, stakeholders, and development partners/vendors to ensure implementation and help define architecture to create robust solutions. Conducting performance reviews for your team and engineering process for quality assurance to ensure that deliverables are effective and meet the needs of the end-user. Guiding teams and removing roadblocks to ensure timely solutions, as well as growing your team of developers to advance in their careers are key tasks that help make sure, we can keep our organization moving forward. Fostering a partnership with business owners and key stakeholders to get the job done. Penske Responsibilities: Provide direction and day-to-day management of development staff to ensure that any roadblocks are removed, and developers/teams are successfully moving forward Make sure that development projects are prioritized, scheduled, and completed according to business need Foster collaboration by leading regular meetings and communicating with process owners, product managers, agile teams, IT groups, and other stakeholders to negotiate priority and timelines while managing resources required to get the job done Hire new associates, conduct performance reviews, guide, and mentor their career development Ensure on time and defect-free delivery of applications in accordance with Penske standards Responsibilities for multiple systems, agile teams, and cross-functional projects Other projects, teams, and responsibilities as assigned by the manager Follow IT practices in security, licensing, source code management, incident management, and following architectural standards Coach and mentor associates. Develop team members to increase value to the organization Reduce complexity in the environment Identify future opportunities for system enhancement and value generation Penske Qualifications: Bachelor's degree in computer science, Math or Information Systems or equivalent development experience. Green belt, Black belt, Lean or PMP certification preferred. 12+ years of software development experience 5+ years leading/supervising multiple IT projects through the full SDLC (Software Development Life Cycle) including prior work defining complex application architecture and integration with multi-tiered systems Proven experience in leading and managing small to mid-size teams Proven experience in team development and performance management Experience in migrating legacy applications to cloud platforms such as AWS Experience in implementing large scale applications with Event Driven and Domain Driven Architecture patterns Significant functional experience (8+ years) with core Technologies and Architectures - Java Enterprise Technologies, Spring Boot, Spring Frameworks, Restful Web services, SOA, Angular, HTML/CSS, SQL, DB2/Oracle, Kafka, Cloud Technologies Experience in leading teams in custom development, evaluating, selecting, integrating, and implementing application software (package) solutions when appropriate Strong interpersonal and decision-making skills Experience in building and managing relationships with various business and IT Stakeholders Able to communicate highly technical concepts in a clear/concise manner to non-technical individuals Experience in prioritizing technological needs within set budget requirements Knowledge of project management methods and tools Strong experience with Agile (SAFE) / DevOps approaches or methodologies Strong knowledge of Integration technologies like Spring Integration Framework, API Management, Micro-services Expertise in leading the architecture, design & implementation of highly complex data integrations and data services by utilizing technologies such as Spring Boot, Angular, DB2/Oracle Advanced experience in working with the various IT teams to build and implement scalable architecture for relevant software solutions Full fluency and expert-level knowledge in systems/languages applicable to the role Physical Requirements: The physical demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The associate must regularly lift and /or move up to 25lbs/12kg. Specific vision abilities required by this job include Close vision, Distance vision, Peripheral vision, Depth perception and Ability to adjust focus. While performing the duties of this Job, the associate is regularly required to stand; walk; sit and talk or hear. The associate is frequently required to use hands to finger, handle, or feel and reach with hands and arms. Penske is an Equal Opportunity Employer. About Penske Truck Leasing Penske Truck Leasing Co., L.P., headquartered in Reading, Pennsylvania, is a partnership of Penske Corporation, Penske Automotive Group and Mitsui & Co., Ltd. A leading global transportation services provider, Penske operates a premier fleet of vehicles and serves its customers from locations in North America, South America, Europe, Australia, and Asia. Penske's product lines include full-service truck leasing, contract maintenance, commercial and consumer truck rentals, used truck sales, transportation and warehousing management and supply chain management solutions. Visit to learn more. Job Category: Information Technology Job Family: Information Technology Address: 5401 W Kennedy Blvd Ste 650 Primary Location: US-FL-Tampa Employer: Penske Truck Leasing Co., L.P. Req ID:
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week in office) The Opportunity MassMutual's AI Platform Engineering team is seeking a skilled AI Platform Engineer to contribute to the design, development, and operation of our growing AI platform. You will work on meaningful platform challenges, collaborate closely with senior engineers, and take ownership of platform components that power MassMutual's AI initiatives. The Team This is a unique opportunity to work on the team that builds and operates the platform powering MassMutual's AI initiatives. The team operates at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. This team is defined by a shared commitment to engineering excellence, clear documentation, and a drive to make hard problems tractable. The Impact Contribute to the design and implementation of platform components-cloud infrastructure, AI serving layers, and developer tooling-with guidance from senior engineers. Take ownership of discrete features or modules within critical platform systems such as the LLM gateway, model serving infrastructure, and enterprise integration patterns. Participate in writing ADRs and technical documentation. Participate in design reviews, contribute constructive feedback on pull requests, and collaborate with teammates on complex engineering challenges. Execute platform initiatives end to end within your scope-breaking down tasks, managing your work, and delivering quality outcomes in production. Support platform reliability efforts: contribute to Service Level Objective definitions, implement observability instrumentation, participate in incident response, and help improve platform stability. Implement governance and compliance controls-data residency, access management, audit logging-in alignment with enterprise requirements and established patterns. Collaborate with AI engineering, product, and cloud engineering teams; communicate technical context and trade-offs clearly in cross-functional settings. Contribute to team documentation habits, code quality, and shared engineering standards. The Minimum Qualifications 2+ years of experience in platform, infrastructure, or SRE roles, with demonstrated ownership of platform components or services. 2+ years of experience with cloud-native architecture across AWS, GCP, or Azure-containerized deployments, managed services, and basic multi-tenancy patterns. 2+ years of experience delivering platform features from development through production, with the ability to manage ambiguity within a defined scope. 2+ years of experience working with IaC and GitOps tools: Terraform or Pulumi, ArgoCD, and standard deployment patterns. Bachelor's Degree in Computer Science, Technology, Engineering, or Mathematics is required The Ideal Qualifications Familiarity with Kubernetes (CKA, CKAD, or equivalent AWS certifications a plus); working knowledge of cloud-native concepts including managed services, networking, and identity. Exposure to AI/ML infrastructure: model serving, inference pipelines, or LLM integration patterns. Clear written communication: ability to produce useful technical documentation and explain implementation decisions to teammates. Hands-on experience with LLM serving frameworks-vLLM, Triton, Ray Serve-or familiarity with AI gateway patterns. Exposure to FinOps principles or GPU cost considerations in inference workloads. Experience contributing to internal developer platforms (IDPs) with an appreciation for developer experience. Open-source contributions to platform or ML infrastructure tooling. Ability to influence peers through technical credibility and collaborative problem-solving. Comfort operating in ambiguous environments, with a habit of asking good clarifying questions and building shared understanding. What to Expect as Part of MassMutual and the Team Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
07/28/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week in office) The Opportunity MassMutual's AI Platform Engineering team is seeking a skilled AI Platform Engineer to contribute to the design, development, and operation of our growing AI platform. You will work on meaningful platform challenges, collaborate closely with senior engineers, and take ownership of platform components that power MassMutual's AI initiatives. The Team This is a unique opportunity to work on the team that builds and operates the platform powering MassMutual's AI initiatives. The team operates at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. This team is defined by a shared commitment to engineering excellence, clear documentation, and a drive to make hard problems tractable. The Impact Contribute to the design and implementation of platform components-cloud infrastructure, AI serving layers, and developer tooling-with guidance from senior engineers. Take ownership of discrete features or modules within critical platform systems such as the LLM gateway, model serving infrastructure, and enterprise integration patterns. Participate in writing ADRs and technical documentation. Participate in design reviews, contribute constructive feedback on pull requests, and collaborate with teammates on complex engineering challenges. Execute platform initiatives end to end within your scope-breaking down tasks, managing your work, and delivering quality outcomes in production. Support platform reliability efforts: contribute to Service Level Objective definitions, implement observability instrumentation, participate in incident response, and help improve platform stability. Implement governance and compliance controls-data residency, access management, audit logging-in alignment with enterprise requirements and established patterns. Collaborate with AI engineering, product, and cloud engineering teams; communicate technical context and trade-offs clearly in cross-functional settings. Contribute to team documentation habits, code quality, and shared engineering standards. The Minimum Qualifications 2+ years of experience in platform, infrastructure, or SRE roles, with demonstrated ownership of platform components or services. 2+ years of experience with cloud-native architecture across AWS, GCP, or Azure-containerized deployments, managed services, and basic multi-tenancy patterns. 2+ years of experience delivering platform features from development through production, with the ability to manage ambiguity within a defined scope. 2+ years of experience working with IaC and GitOps tools: Terraform or Pulumi, ArgoCD, and standard deployment patterns. Bachelor's Degree in Computer Science, Technology, Engineering, or Mathematics is required The Ideal Qualifications Familiarity with Kubernetes (CKA, CKAD, or equivalent AWS certifications a plus); working knowledge of cloud-native concepts including managed services, networking, and identity. Exposure to AI/ML infrastructure: model serving, inference pipelines, or LLM integration patterns. Clear written communication: ability to produce useful technical documentation and explain implementation decisions to teammates. Hands-on experience with LLM serving frameworks-vLLM, Triton, Ray Serve-or familiarity with AI gateway patterns. Exposure to FinOps principles or GPU cost considerations in inference workloads. Experience contributing to internal developer platforms (IDPs) with an appreciation for developer experience. Open-source contributions to platform or ML infrastructure tooling. Ability to influence peers through technical credibility and collaborative problem-solving. Comfort operating in ambiguous environments, with a habit of asking good clarifying questions and building shared understanding. What to Expect as Part of MassMutual and the Team Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
TITLE: Product Manager EOE STATEMENT: We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law. DESCRIPTION: Product Manager Endosec specializes in products for hardware/software security, cryptography, and services for security design and anti-tamper planning. The Product Manager at EndoSec is at the forefront of driving product strategy, development, and delivery, helping to drive design goals and business objectives, representing the business case for product initiatives, balancing the priorities of design quality with technological and resource limitations, aligning products with the 1-3-5-year calendar, and anticipating market needs. The candidate will work closely with cross-functional teams including engineering, design, and sales to bring our products to market successfully. Ideally, the candidate has a deep understanding of technology, user experience, and market trends, along with solid communication and leader skills. The candidate must be able to obtain and maintain a US Government Security Clearance. Key Responsibilities: 1. Product Strategy Communicate a clear product vision, strategy, and roadmap aligned with business goals Conduct market research to identify trends, opportunities, and potential competitors Meet with stakeholders to define product requirements and prioritize features 2. Product Development Work closely with engineering and design teams to oversee the end-to-end product development process Define and prioritize features, ensuring alignment with the overall product strategy Conduct regular reviews and provide feedback to ensure the product meets quality standards 3. Market Analysis Conduct market analysis to identify new opportunities for product enhancement or expansion Stay informed about emerging technologies and potential impact on our products; monitor industry trends and competition Perform rigorous examination of competing products to catalog benchmark performance metrics 4. Go-to-Market Strategy Collaborate with sales team to develop effective go-to-market strategies Provide training and support to sales team to ensure successful product launch 5. Customer Focus Gather and analyze customer feedback to inform product improvements Confer with customer support team to address product-related issues and concerns Maintain a customer-centric approach throughout the product lifecycle 6. Cross-functional Collaboration Work closely within cross-functional teams to ensure effective communication and collaboration Provide regular updates to leadership and stakeholders on product development processes POSITION REQUIREMENTS: Position Requirements Ability to obtain and maintain a US Government Security Clearance Bachelor's degree or higher in a relevant field (Business, Computer Science, Engineering) Experience as a Product Manager in a technology environment Strong analytical and problem-solving skills Meticulous information management and data organization Experience with project management tools and software Solid understanding of cybersecurity principles and threats Familiarity with various cybersecurity frameworks and compliance standards, e.g., National Institute of Standards and Technology (NIST) FULL-TIME/PART-TIME: Full-Time PIc41d9ec3d56e-7885
07/28/2026
Full time
TITLE: Product Manager EOE STATEMENT: We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law. DESCRIPTION: Product Manager Endosec specializes in products for hardware/software security, cryptography, and services for security design and anti-tamper planning. The Product Manager at EndoSec is at the forefront of driving product strategy, development, and delivery, helping to drive design goals and business objectives, representing the business case for product initiatives, balancing the priorities of design quality with technological and resource limitations, aligning products with the 1-3-5-year calendar, and anticipating market needs. The candidate will work closely with cross-functional teams including engineering, design, and sales to bring our products to market successfully. Ideally, the candidate has a deep understanding of technology, user experience, and market trends, along with solid communication and leader skills. The candidate must be able to obtain and maintain a US Government Security Clearance. Key Responsibilities: 1. Product Strategy Communicate a clear product vision, strategy, and roadmap aligned with business goals Conduct market research to identify trends, opportunities, and potential competitors Meet with stakeholders to define product requirements and prioritize features 2. Product Development Work closely with engineering and design teams to oversee the end-to-end product development process Define and prioritize features, ensuring alignment with the overall product strategy Conduct regular reviews and provide feedback to ensure the product meets quality standards 3. Market Analysis Conduct market analysis to identify new opportunities for product enhancement or expansion Stay informed about emerging technologies and potential impact on our products; monitor industry trends and competition Perform rigorous examination of competing products to catalog benchmark performance metrics 4. Go-to-Market Strategy Collaborate with sales team to develop effective go-to-market strategies Provide training and support to sales team to ensure successful product launch 5. Customer Focus Gather and analyze customer feedback to inform product improvements Confer with customer support team to address product-related issues and concerns Maintain a customer-centric approach throughout the product lifecycle 6. Cross-functional Collaboration Work closely within cross-functional teams to ensure effective communication and collaboration Provide regular updates to leadership and stakeholders on product development processes POSITION REQUIREMENTS: Position Requirements Ability to obtain and maintain a US Government Security Clearance Bachelor's degree or higher in a relevant field (Business, Computer Science, Engineering) Experience as a Product Manager in a technology environment Strong analytical and problem-solving skills Meticulous information management and data organization Experience with project management tools and software Solid understanding of cybersecurity principles and threats Familiarity with various cybersecurity frameworks and compliance standards, e.g., National Institute of Standards and Technology (NIST) FULL-TIME/PART-TIME: Full-Time PIc41d9ec3d56e-7885
The Opportunity MassMutual's AI Platform Engineering team is seeking an impact-driven AI Platform Engineer to serve as the technical anchor of our high-performing team. You will lead the design, deployment, set engineering standards, and drive the most complex platform initiatives from concept through production. The Team This is a unique opportunity to work on the team that builds and operates the platform powering MassMutual's AI initiatives. The team operates at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. This team is defined by a shared commitment to engineering excellence, clear documentation, and the kind of technical leadership that makes hard problems tractable. The Impact Define architectural direction at the AI platform component level-cloud infrastructure, AI serving layers, developer tooling, and reliability strategy-and translate it into a concrete, prioritized roadmap. Lead design on one of the platform's most critical components-LLM gateway, multi-tenant compute isolation, model serving infrastructure, and enterprise integration patterns. Write ADRs that become the team's engineering standards. Serve as the first point of technical escalation for hard engineering decisions. Run design reviews, provide deep technical feedback on pull requests, and pair with engineers on the gnarliest problems. Own the technical execution of major platform initiatives end to end-scoping, sequencing work, managing technical risk, and driving to production without losing quality. Lead platform reliability strategy: define SLOs, shape the observability strategy, lead incident reviews, and continuously raise the bar on platform stability and operational maturity. Lead technical design of governance and compliance controls-data residency, access management, audit logging, and AI usage policies-to satisfy enterprise customer requirements and compliance frameworks. Drive cross-team alignment with AI engineering, product, and cloud engineering teams; communicate technical trade-offs clearly and represent platform capabilities to senior stakeholders. Raise the technical craft of the team through thorough design reviews, documentation habits, and hands-on pairing-without managing anyone directly. The Minimum Qualifications 5+ years in platform, infrastructure, or SRE, with a track record as a technical lead or staff-level IC with team-wide technical scope. Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD) or equivalent AWS Certifications. 3+ years experience in cloud-native architecture: Kubernetes at scale, managed cloud services, networking, identity federation, and multi-tenancy patterns across AWS, GCP, or Azure. 3+ years experience of proven ownership of complex, multi-month platform initiatives-driven from whiteboard to production, managing ambiguity and technical risk throughout. The Ideal Qualifications Strong IaC and GitOps fluency: Terraform or Pulumi, ArgoCD, with experience standardizing platform tooling and deployment patterns across engineering teams. Hands-on experience with AI/ML infrastructure: model serving, inference pipelines, GPU resource management, or LLM integration patterns. Experience mentoring engineers and influencing technical direction across teams. Strong written communication: clear design docs, useful ADRs, and the ability to explain architectural decisions to both engineers and non-technical stakeholders. LLM serving at scale-vLLM, Triton, Ray Serve-or experience with AI gateway design patterns. Experience building an internal developer platform (IDP) from scratch, with a product mindset that obsesses over internal developer experience. Strong grasp of AI safety, model evaluation, and governance frameworks. Ability to lead through technical credibility-influencing design decisions, driving alignment, and raising quality without formal authority. FinOps or GPU cost optimization experience across large inference workloads. Open-source contributions to platform or ML infrastructure tooling. Comfort with ambiguity: energized by undefined problem spaces, with a habit of building clarity and shared context where there isn't any. What to Expect as Part of MassMutual and the Team Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
07/28/2026
Full time
The Opportunity MassMutual's AI Platform Engineering team is seeking an impact-driven AI Platform Engineer to serve as the technical anchor of our high-performing team. You will lead the design, deployment, set engineering standards, and drive the most complex platform initiatives from concept through production. The Team This is a unique opportunity to work on the team that builds and operates the platform powering MassMutual's AI initiatives. The team operates at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. This team is defined by a shared commitment to engineering excellence, clear documentation, and the kind of technical leadership that makes hard problems tractable. The Impact Define architectural direction at the AI platform component level-cloud infrastructure, AI serving layers, developer tooling, and reliability strategy-and translate it into a concrete, prioritized roadmap. Lead design on one of the platform's most critical components-LLM gateway, multi-tenant compute isolation, model serving infrastructure, and enterprise integration patterns. Write ADRs that become the team's engineering standards. Serve as the first point of technical escalation for hard engineering decisions. Run design reviews, provide deep technical feedback on pull requests, and pair with engineers on the gnarliest problems. Own the technical execution of major platform initiatives end to end-scoping, sequencing work, managing technical risk, and driving to production without losing quality. Lead platform reliability strategy: define SLOs, shape the observability strategy, lead incident reviews, and continuously raise the bar on platform stability and operational maturity. Lead technical design of governance and compliance controls-data residency, access management, audit logging, and AI usage policies-to satisfy enterprise customer requirements and compliance frameworks. Drive cross-team alignment with AI engineering, product, and cloud engineering teams; communicate technical trade-offs clearly and represent platform capabilities to senior stakeholders. Raise the technical craft of the team through thorough design reviews, documentation habits, and hands-on pairing-without managing anyone directly. The Minimum Qualifications 5+ years in platform, infrastructure, or SRE, with a track record as a technical lead or staff-level IC with team-wide technical scope. Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD) or equivalent AWS Certifications. 3+ years experience in cloud-native architecture: Kubernetes at scale, managed cloud services, networking, identity federation, and multi-tenancy patterns across AWS, GCP, or Azure. 3+ years experience of proven ownership of complex, multi-month platform initiatives-driven from whiteboard to production, managing ambiguity and technical risk throughout. The Ideal Qualifications Strong IaC and GitOps fluency: Terraform or Pulumi, ArgoCD, with experience standardizing platform tooling and deployment patterns across engineering teams. Hands-on experience with AI/ML infrastructure: model serving, inference pipelines, GPU resource management, or LLM integration patterns. Experience mentoring engineers and influencing technical direction across teams. Strong written communication: clear design docs, useful ADRs, and the ability to explain architectural decisions to both engineers and non-technical stakeholders. LLM serving at scale-vLLM, Triton, Ray Serve-or experience with AI gateway design patterns. Experience building an internal developer platform (IDP) from scratch, with a product mindset that obsesses over internal developer experience. Strong grasp of AI safety, model evaluation, and governance frameworks. Ability to lead through technical credibility-influencing design decisions, driving alignment, and raising quality without formal authority. FinOps or GPU cost optimization experience across large inference workloads. Open-source contributions to platform or ML infrastructure tooling. Comfort with ambiguity: energized by undefined problem spaces, with a habit of building clarity and shared context where there isn't any. What to Expect as Part of MassMutual and the Team Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
Sr. Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or XGboost 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/28/2026
Full time
Sr. Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or XGboost 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
As a global marketing experience company, Quad's goal is to help our clients win every day. We use our data-driven integrated marketing and manufacturing platform to streamline solutions for our clients, reduce friction and enhance their marketing spend effectiveness. We've built a rich legacy by believing in our people, allowing them to act like owners and to take charge of their own success. Whether an operator, sales rep, a graphic artist or a clinician, we're all driven to perform at our best- for ourselves and our clients. At our core, we're a company that believes we can always create a better way. Are you the right applicant for this opportunity Find out by reading through the role overview below. Web Offset Press Operator (First Press) Location: Hartford, WI Pay: Starting at $25.00 / hour or more , based on relevant experience and work history Paid Relocation: Available for qualified candidates relocating from 100+ miles away. Shift Options Available: 12-hour rotating schedule (days and nights) Schedule: 12-hour compressed work schedule (3/4 or 4/3 rotation), working only 182 days per year while maintaining full-time pay and benefits. Experience Required: This is an experienced Web Offset Press Operator (First Press) position. Previous commercial printing press operating experience is required. Experience operating web offset presses is preferred; however, candidates with experience operating sheetfed offset, flexographic, gravure, or other commercial printing press platforms are encouraged to apply. Produce Printed Products Millions of People See Every Day Every day, millions of people see the products we produce-from magazines and catalogs to retail advertising, direct mail, and other printed products. At Quad, you'll work with advanced technology, produce high-quality printed materials, and build a long-term career with a company that invests in its people. Hartford is one of Quad's largest manufacturing campuses and an important part of our nationwide production network. Here, you'll work with advanced printing technology while supporting the production of magazines, catalogs, and retail advertising products seen across the country. As home to our CRT ink manufacturing division , Hartford is also a center for innovation and continuous improvement, making it an exciting place to build a manufacturing career with room to grow. Position Summary Quad is seeking an experienced Web Offset Press Operator (First Press) to join our Hartford manufacturing team. In this leadership role, you'll operate and maintain advanced web offset printing equipment while leading press crews to achieve safety, quality, and production goals. You'll oversee press performance, troubleshoot equipment, mentor team members, and drive continuous improvement in one of North America's largest commercial printing operations. Experience operating Harris, Heidelberg, Goss, Manroland , or similar web offset presses is highly preferred. Candidates with experience operating other commercial printing press platforms are encouraged to apply. What You'll Do Operate and maintain web offset presses and auxiliary equipment. Lead and direct press crew members to achieve production, quality, and safety goals. Perform press set-ups, make-readies, and routine maintenance procedures. Troubleshoot press, folder, reel, stacker, and related equipment to minimize downtime. Maintain proper ink and water balance while monitoring color consistency, registration, and print quality. Read and interpret job tickets, customer specifications, and production requirements. Coordinate maintenance activities and communicate equipment needs. Maintain production records, downtime documentation, and quality reports. Promote and support safety initiatives, 6S, Lean Manufacturing, and continuous improvement efforts. Train, mentor, and develop pressroom team members. Collaborate with supervisors and cross-functional teams to improve productivity and performance. Perform other duties as assigned. What We're Looking For Previous commercial printing press operating experience is required. Experience operating web offset presses is preferred. Candidates with experience operating sheetfed offset, flexographic, gravure, or other commercial printing press platforms are encouraged to apply. Experience operating Harris, Heidelberg, Goss, Manroland, or similar presses is highly preferred. Strong knowledge of offset printing processes, color management, registration, ink distribution, and print quality standards. Experience troubleshooting web breaks, tension systems, folders, and related press equipment. Strong mechanical aptitude and problem-solving skills. Proven leadership experience with the ability to train, mentor, and develop team members. Ability to read and interpret job tickets, production specifications, and work instructions. Basic math skills related to press operations. Ability to speak, read, write, and understand English to safely perform job duties, follow work instructions, and communicate effectively with team members. Ability to lift up to 50 pounds occasionally and stand for extended periods. Ability to work a 12-hour rotating schedule, including days, nights, weekends, holidays, and overtime as business needs require. Why Quad? At Quad, you'll do more than operate equipment-you'll lead a team producing printed products that reach millions of consumers every day. We continue to invest in printing technology, automation, and our employees, creating opportunities to expand your leadership and technical skills while building a long-term career with an industry leader. Qualified candidates relocating more than 100 miles may be eligible for paid relocation assistance , making it easier to join our Hartford team. Hartford employees enjoy a variety of unique benefits, including: 12-hour compressed work schedule -work only 182 days per year while maintaining full-time pay and benefits. On-site fitness center to support your health and wellness. On-site medical clinic for convenient access to healthcare. Climate-controlled manufacturing environment. Opportunities to work with some of the most advanced web offset printing technology in North America. Career growth and advancement across press operations, maintenance, quality, engineering, and leadership. Compensation is based on experience, skills, qualifications, shift, location, and other job-related factors. Lead with Experience. Build Your Career at Quad. If you're an experienced commercial press operator who enjoys leading teams, solving technical challenges, and producing exceptional work, we'd love to hear from you. Apply today and see where a career at Quad can take you. We offer comprehensive benefits for eligible employees including medical, prescription, dental and vision insurance, 401(k) retirement savings, paid time off, holidays and additional benefits. Quad is proud to be an equal opportunity employer. We are committed to creating a place of belonging - a space where employees do not need to sacrifice who they are to exist and grow in our workplace. Quad does not discriminate on any unlawful basis including race, religion, color, national origin, disability, gender, gender identity, sexual orientation, age, marital status, veteran status, genetic information, or any other basis prohibited by applicable federal, state, or local laws. xibtplm Quad also prohibits harassment of applicants and employees based on any of these protected categories. Drug-Free Workplace
07/28/2026
Full time
As a global marketing experience company, Quad's goal is to help our clients win every day. We use our data-driven integrated marketing and manufacturing platform to streamline solutions for our clients, reduce friction and enhance their marketing spend effectiveness. We've built a rich legacy by believing in our people, allowing them to act like owners and to take charge of their own success. Whether an operator, sales rep, a graphic artist or a clinician, we're all driven to perform at our best- for ourselves and our clients. At our core, we're a company that believes we can always create a better way. Are you the right applicant for this opportunity Find out by reading through the role overview below. Web Offset Press Operator (First Press) Location: Hartford, WI Pay: Starting at $25.00 / hour or more , based on relevant experience and work history Paid Relocation: Available for qualified candidates relocating from 100+ miles away. Shift Options Available: 12-hour rotating schedule (days and nights) Schedule: 12-hour compressed work schedule (3/4 or 4/3 rotation), working only 182 days per year while maintaining full-time pay and benefits. Experience Required: This is an experienced Web Offset Press Operator (First Press) position. Previous commercial printing press operating experience is required. Experience operating web offset presses is preferred; however, candidates with experience operating sheetfed offset, flexographic, gravure, or other commercial printing press platforms are encouraged to apply. Produce Printed Products Millions of People See Every Day Every day, millions of people see the products we produce-from magazines and catalogs to retail advertising, direct mail, and other printed products. At Quad, you'll work with advanced technology, produce high-quality printed materials, and build a long-term career with a company that invests in its people. Hartford is one of Quad's largest manufacturing campuses and an important part of our nationwide production network. Here, you'll work with advanced printing technology while supporting the production of magazines, catalogs, and retail advertising products seen across the country. As home to our CRT ink manufacturing division , Hartford is also a center for innovation and continuous improvement, making it an exciting place to build a manufacturing career with room to grow. Position Summary Quad is seeking an experienced Web Offset Press Operator (First Press) to join our Hartford manufacturing team. In this leadership role, you'll operate and maintain advanced web offset printing equipment while leading press crews to achieve safety, quality, and production goals. You'll oversee press performance, troubleshoot equipment, mentor team members, and drive continuous improvement in one of North America's largest commercial printing operations. Experience operating Harris, Heidelberg, Goss, Manroland , or similar web offset presses is highly preferred. Candidates with experience operating other commercial printing press platforms are encouraged to apply. What You'll Do Operate and maintain web offset presses and auxiliary equipment. Lead and direct press crew members to achieve production, quality, and safety goals. Perform press set-ups, make-readies, and routine maintenance procedures. Troubleshoot press, folder, reel, stacker, and related equipment to minimize downtime. Maintain proper ink and water balance while monitoring color consistency, registration, and print quality. Read and interpret job tickets, customer specifications, and production requirements. Coordinate maintenance activities and communicate equipment needs. Maintain production records, downtime documentation, and quality reports. Promote and support safety initiatives, 6S, Lean Manufacturing, and continuous improvement efforts. Train, mentor, and develop pressroom team members. Collaborate with supervisors and cross-functional teams to improve productivity and performance. Perform other duties as assigned. What We're Looking For Previous commercial printing press operating experience is required. Experience operating web offset presses is preferred. Candidates with experience operating sheetfed offset, flexographic, gravure, or other commercial printing press platforms are encouraged to apply. Experience operating Harris, Heidelberg, Goss, Manroland, or similar presses is highly preferred. Strong knowledge of offset printing processes, color management, registration, ink distribution, and print quality standards. Experience troubleshooting web breaks, tension systems, folders, and related press equipment. Strong mechanical aptitude and problem-solving skills. Proven leadership experience with the ability to train, mentor, and develop team members. Ability to read and interpret job tickets, production specifications, and work instructions. Basic math skills related to press operations. Ability to speak, read, write, and understand English to safely perform job duties, follow work instructions, and communicate effectively with team members. Ability to lift up to 50 pounds occasionally and stand for extended periods. Ability to work a 12-hour rotating schedule, including days, nights, weekends, holidays, and overtime as business needs require. Why Quad? At Quad, you'll do more than operate equipment-you'll lead a team producing printed products that reach millions of consumers every day. We continue to invest in printing technology, automation, and our employees, creating opportunities to expand your leadership and technical skills while building a long-term career with an industry leader. Qualified candidates relocating more than 100 miles may be eligible for paid relocation assistance , making it easier to join our Hartford team. Hartford employees enjoy a variety of unique benefits, including: 12-hour compressed work schedule -work only 182 days per year while maintaining full-time pay and benefits. On-site fitness center to support your health and wellness. On-site medical clinic for convenient access to healthcare. Climate-controlled manufacturing environment. Opportunities to work with some of the most advanced web offset printing technology in North America. Career growth and advancement across press operations, maintenance, quality, engineering, and leadership. Compensation is based on experience, skills, qualifications, shift, location, and other job-related factors. Lead with Experience. Build Your Career at Quad. If you're an experienced commercial press operator who enjoys leading teams, solving technical challenges, and producing exceptional work, we'd love to hear from you. Apply today and see where a career at Quad can take you. We offer comprehensive benefits for eligible employees including medical, prescription, dental and vision insurance, 401(k) retirement savings, paid time off, holidays and additional benefits. Quad is proud to be an equal opportunity employer. We are committed to creating a place of belonging - a space where employees do not need to sacrifice who they are to exist and grow in our workplace. Quad does not discriminate on any unlawful basis including race, religion, color, national origin, disability, gender, gender identity, sexual orientation, age, marital status, veteran status, genetic information, or any other basis prohibited by applicable federal, state, or local laws. xibtplm Quad also prohibits harassment of applicants and employees based on any of these protected categories. Drug-Free Workplace
The Opportunity MassMutual's AI & Data Science team is seeking an impact-driven Lead AI Engineer to join our high-performing, cross-functional team. In this role, you will lead the design, deployment, and production scaling of advanced AI solutions that solve complex, high-value problems across the enterprise. You'll architect and deliver generative AI, agentic AI, and LLM-based systems by applying rigorous scientific methods, writing high-quality production code, and communicating results to senior leadership. The Team This is a unique opportunity to work alongside experts in applied AI, statistics, and computer science. The team operates at the intersection of cutting-edge research and enterprise delivery, building AI solutions that shape the future of MassMutual and the life insurance industry at large. We partner closely with technology and business stakeholders across the organization, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. This team is defined by a shared commitment to scientific and engineering excellence, meaningful work, and the kind of collaboration that makes challenging problems tractable. The Impact Architect, build, and lead end-to-end AI solutions supporting a range of enterprise use cases-from ideation through production deployment and monitoring-using LLMs, agentic AI, machine learning, and probabilistic modeling, with accountability for reliability, performance, and maintainability. Design and conduct rigorous evaluations of AI system performance, including experimentation, benchmarking across foundation models, and quantitative analysis, to validate approaches and inform technical decisions. Drive innovation by identifying emerging technologies, translating cutting-edge research into practical applications, and establishing team-wide best practices in AI development and responsible AI deployment. Build rapid prototypes to test and validate AI approaches and deliver production-grade AI-powered applications (e.g., intelligent interfaces, dashboards, automated workflows) when solutions prove viable. Collaborate with engineering teams to build robust, production-grade AI pipelines and APIs that integrate into the broader enterprise technology ecosystem. Influence senior leadership by aligning AI initiatives with enterprise strategy and communicating complex technical concepts and findings in clear, actionable terms. Mentor and develop junior talent, fostering a culture of technical excellence, scientific rigor, and continuous learning across the team. The Minimum Qualifications 7+ years of experience in data science, machine learning, or AI engineering, with a track record of delivering impactful AI/ML solutions at scale. Deep expertise in machine learning, statistics, NLP, and LLMs, including generative AI, agentic architectures, prompt engineering, and LLM evaluation across a variety of foundation models and benchmarks. Demonstrated ability to build, deploy, and scale production AI systems from architecture planning through orchestration, monitoring, and end-user delivery. Strong programming skills in Python, with the ability to write clean, well-tested, production-quality code, including familiarity with Docker, Kubernetes, and other orchestration and deployment frameworks. M.S. or Ph.D. in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field. The Ideal Qualifications Familiarity with agentic AI tooling ecosystems, such as Bedrock AgentCore, AWS Strands, Azure, and MCP/A2A protocols. Experience developing and evaluating AI systems in a regulated industry, with a strong understanding of compliance and privacy standards. Breadth across AI and data science methods-including classical ML, causal inference, optimization, and Bayesian approaches-with comfort moving across techniques as problems demand. Proficiency in SQL and database design; familiarity with cloud-native data platforms, vector databases, and semantic search. Exceptional ability to translate complex AI concepts and quantitative findings into clear insights for non-technical stakeholders and senior leadership. Exceptional research credentials, such as published work, significant open-source contributions, or a strong record of scientific rigor applied in industry. What to Expect as Part of MassMutual and the Team Regular meetings with the AI & Data Science team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
07/28/2026
Full time
The Opportunity MassMutual's AI & Data Science team is seeking an impact-driven Lead AI Engineer to join our high-performing, cross-functional team. In this role, you will lead the design, deployment, and production scaling of advanced AI solutions that solve complex, high-value problems across the enterprise. You'll architect and deliver generative AI, agentic AI, and LLM-based systems by applying rigorous scientific methods, writing high-quality production code, and communicating results to senior leadership. The Team This is a unique opportunity to work alongside experts in applied AI, statistics, and computer science. The team operates at the intersection of cutting-edge research and enterprise delivery, building AI solutions that shape the future of MassMutual and the life insurance industry at large. We partner closely with technology and business stakeholders across the organization, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. This team is defined by a shared commitment to scientific and engineering excellence, meaningful work, and the kind of collaboration that makes challenging problems tractable. The Impact Architect, build, and lead end-to-end AI solutions supporting a range of enterprise use cases-from ideation through production deployment and monitoring-using LLMs, agentic AI, machine learning, and probabilistic modeling, with accountability for reliability, performance, and maintainability. Design and conduct rigorous evaluations of AI system performance, including experimentation, benchmarking across foundation models, and quantitative analysis, to validate approaches and inform technical decisions. Drive innovation by identifying emerging technologies, translating cutting-edge research into practical applications, and establishing team-wide best practices in AI development and responsible AI deployment. Build rapid prototypes to test and validate AI approaches and deliver production-grade AI-powered applications (e.g., intelligent interfaces, dashboards, automated workflows) when solutions prove viable. Collaborate with engineering teams to build robust, production-grade AI pipelines and APIs that integrate into the broader enterprise technology ecosystem. Influence senior leadership by aligning AI initiatives with enterprise strategy and communicating complex technical concepts and findings in clear, actionable terms. Mentor and develop junior talent, fostering a culture of technical excellence, scientific rigor, and continuous learning across the team. The Minimum Qualifications 7+ years of experience in data science, machine learning, or AI engineering, with a track record of delivering impactful AI/ML solutions at scale. Deep expertise in machine learning, statistics, NLP, and LLMs, including generative AI, agentic architectures, prompt engineering, and LLM evaluation across a variety of foundation models and benchmarks. Demonstrated ability to build, deploy, and scale production AI systems from architecture planning through orchestration, monitoring, and end-user delivery. Strong programming skills in Python, with the ability to write clean, well-tested, production-quality code, including familiarity with Docker, Kubernetes, and other orchestration and deployment frameworks. M.S. or Ph.D. in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field. The Ideal Qualifications Familiarity with agentic AI tooling ecosystems, such as Bedrock AgentCore, AWS Strands, Azure, and MCP/A2A protocols. Experience developing and evaluating AI systems in a regulated industry, with a strong understanding of compliance and privacy standards. Breadth across AI and data science methods-including classical ML, causal inference, optimization, and Bayesian approaches-with comfort moving across techniques as problems demand. Proficiency in SQL and database design; familiarity with cloud-native data platforms, vector databases, and semantic search. Exceptional ability to translate complex AI concepts and quantitative findings into clear insights for non-technical stakeholders and senior leadership. Exceptional research credentials, such as published work, significant open-source contributions, or a strong record of scientific rigor applied in industry. What to Expect as Part of MassMutual and the Team Regular meetings with the AI & Data Science team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
We are seeking an accomplished Chief Technology Officer, CTO to lead the technology vision, engineering organization, AI strategy, and product architecture for a growing enterprise SaaS company serving Fortune 500 customers. The ideal candidate is a strategic, hands-on technology executive with a proven track record of scaling high-performing engineering organizations and delivering innovative, AI-enabled software solutions. Key Qualifications 20+ years of technology leadership experience within enterprise software, SaaS, MarTech, or channel marketing platforms. Proven success managing organizations of 50+ professionals across Engineering, Architecture, AI/ML, DevOps, Quality Assurance, Consulting, and Project Management. Demonstrated experience unlocking and maximizing AI technologies to drive product innovation, operational efficiencies, and customer value. Deep knowledge of modern AI technologies, including LLMs, tokenization, prompt engineering, retrieval-augmented generation (RAG), vector databases, GPUs, cloud AI infrastructure, and AI software stacks. Extensive experience evaluating enterprise architectures and designing scalable, secure, cloud-native SaaS platforms. Proven ability to define technology strategy, modernize legacy platforms, reduce technical debt, and execute scalable engineering roadmaps. Strong background developing enterprise SaaS applications serving Fortune 500 customers. Experience with MarTech, Through-Channel Marketing Automation (TCMA), Co-op Fund Management, Market Development Funds (MDF), SPIFFs, Partner Relationship Management (PRM), incentives, rebates, and channel marketing solutions is highly desirable. Excellent executive leadership, communication, and cross-functional collaboration skills. Education Bachelor's degree in Computer Science, Engineering, or a related technical discipline required. Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field preferred. Compensation We offer a highly competitive compensation package that includes a market-based base salary , an attractive performance bonus , and the opportunity to participate in a long-term equity incentive program (link removed) Compensation will be commensurate with experience, leadership capability, and technical expertise.
07/28/2026
We are seeking an accomplished Chief Technology Officer, CTO to lead the technology vision, engineering organization, AI strategy, and product architecture for a growing enterprise SaaS company serving Fortune 500 customers. The ideal candidate is a strategic, hands-on technology executive with a proven track record of scaling high-performing engineering organizations and delivering innovative, AI-enabled software solutions. Key Qualifications 20+ years of technology leadership experience within enterprise software, SaaS, MarTech, or channel marketing platforms. Proven success managing organizations of 50+ professionals across Engineering, Architecture, AI/ML, DevOps, Quality Assurance, Consulting, and Project Management. Demonstrated experience unlocking and maximizing AI technologies to drive product innovation, operational efficiencies, and customer value. Deep knowledge of modern AI technologies, including LLMs, tokenization, prompt engineering, retrieval-augmented generation (RAG), vector databases, GPUs, cloud AI infrastructure, and AI software stacks. Extensive experience evaluating enterprise architectures and designing scalable, secure, cloud-native SaaS platforms. Proven ability to define technology strategy, modernize legacy platforms, reduce technical debt, and execute scalable engineering roadmaps. Strong background developing enterprise SaaS applications serving Fortune 500 customers. Experience with MarTech, Through-Channel Marketing Automation (TCMA), Co-op Fund Management, Market Development Funds (MDF), SPIFFs, Partner Relationship Management (PRM), incentives, rebates, and channel marketing solutions is highly desirable. Excellent executive leadership, communication, and cross-functional collaboration skills. Education Bachelor's degree in Computer Science, Engineering, or a related technical discipline required. Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field preferred. Compensation We offer a highly competitive compensation package that includes a market-based base salary , an attractive performance bonus , and the opportunity to participate in a long-term equity incentive program (link removed) Compensation will be commensurate with experience, leadership capability, and technical expertise.