22 jobs found

Job Description Architect the Future of Enterprise Intelligence TheSenior Data Architectprovides 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 spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget 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 asS3, 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. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; 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, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, 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 ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & 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) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. 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 incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata 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 Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. 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/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong 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 TheSenior Data Architectprovides 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 spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget 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 asS3, 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. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; 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, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, 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 ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & 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) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. 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 incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata 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 Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. 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/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong 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 TheSenior Data Architectprovides 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 spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget 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 asS3, 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. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; 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, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, 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 ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & 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) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. 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 incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata 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 Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. 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/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong 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 TheSenior Data Architectprovides 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 spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget 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 asS3, 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. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; 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, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, 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 ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & 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) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. 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 incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata 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 Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. 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/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong 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 TheSenior Data Architectprovides 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 spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget 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 asS3, 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. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; 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, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, 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 ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & 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) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. 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 incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata 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 Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. 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/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong 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 TheSenior Data Architectprovides 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 spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget 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 asS3, 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. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; 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, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, 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 ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & 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) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. 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 incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata 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 Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. 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/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong 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 TheSenior Data Architectprovides 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 spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget 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 asS3, 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. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; 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, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, 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 ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & 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) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. 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 incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata 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 Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. 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/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong 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 TheSenior Data Architectprovides 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 spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget 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 asS3, 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. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; 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, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, 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 ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & 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) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. 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 incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata 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 Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. 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/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong 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.

Your Tech Skills Are Still Relevant - Let's Prove It ! Let's Get you Hired with a Process Many job seekers assume their skills have expired simply because they've been out of the workforce or recently laid off. But the truth is, your foundation is still valuable - it just needs sharpening. SynergisticIT helps you refresh your technical abilities through hands on tech stack updation, real world projects, and updated tools that match today's hiring standards. You'll also receive interview preparation and direct marketing to Fortune 500 clients, giving you visibility that most job seekers never get. Your skills aren't outdated - they're underutilized. Synergisticit helps you bring them back to life and into the job market with confidence. Re entering the tech industry can feel overwhelming, especially after a layoff or career gap. But you don't have to do it alone. SynergisticIT gives you a fast, structured path back into the field. If you've been unemployed for 3-6+ months-or longer-you've probably seen how quickly the market can change. A career gap or an outdated tech stack can reduce callbacks, even when you have talent. Recruiters may assume your skills are outdated or your confidence is lower. But gaps don't define ability. They simply require a strategy: refresh your stack, rebuild proof of work, and re-enter with structure. Since 2010, SynergisticIT has helped candidates return to the workforce and land full-time jobs at major employers-companies like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Client, Banking, Walmart Labs, Client, and more-often with offers between $90,000 and $154,000 depending on role and expertise. Why gaps hurt-and how to neutralize them Employers worry about currency: are your tools current? Can you still perform? The solution is demonstrating recent, relevant work: projects, certifications, and interview readiness. JOPP helps you rebuild that proof and confidence systematically. Current role demand (expressed with variety) SynergisticIT commonly supports hiring pipelines for roles such as junior software programmer, Java full stack engineer, Python/Java developer, DevOps/cloud engineer, plus data-track roles like data analyst, BI analyst, data engineer, data scientist, and ML/AI engineer. The focus areas remain: Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI. Why programs don't fix gaps Many candidates with gaps try "one more course," but that rarely changes outcomes. Ideal candidates for gap-to-offer support Professionals returning after layoffs or personal reasons Candidates with limited recent experience but strong potential Recent grads who never launched properly International candidates on F1/OPT with timeline pressure SynergisticIT provides guidance around STEM extension and process support for H-1B/Green Card filing once employed (as applicable through employers). Want to see credibility and event participation? If you want to explore here are the key links: please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates Technical Skills or Experience? Which one is important to get a Job? Please check below links: Event videos (OCW, JavaOne, Gartner): USA Today feature Client JOPP: Contact: A gap isn't the end of your career. It's a chapter-and you can write the next one strategically. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

Position: Data Engineer- AWS Location: Jersey City, New Jersey Duration: Contract Job ID: 172543 Job Overview: As a Data Engineer III specializing in Python, Spark, and Data Lake technologies within the Consumer and Community Bank, you will be a key member of an agile team. Your role will involve designing and delivering reliable data collection, storage, access, and analytics solutions that are secure, stable, and scalable. You will develop, test, and maintain essential data pipelines and architectures across diverse technical areas, supporting various business functions to achieve organizational objectives. Responsibilities: Review and ensure sufficient protection of enterprise data through controls. Make custom configuration changes in tools to meet business or customer requests. Update logical or physical data models based on new use cases. Utilize SQL frequently and understand NoSQL databases and their applications. Contribute to a team culture of diversity, opportunity, inclusion, and respect. Develop enterprise data models and maintain large-scale data processing pipelines. Lead code reviews and provide mentoring to team members. Drive data quality and ensure data accessibility for analysts and data scientists. Ensure compliance with data governance requirements and alignment with business goals. Qualifications: Formal training or certification in data engineering concepts with 2+ years of applied experience. Experience across the data lifecycle with advanced SQL skills and understanding of NoSQL databases. Proficiency in statistical data analysis and determining appropriate tools and data patterns. Extensive experience in AWS and maintaining data pipelines using Python and PySpark. Proficient in Python and PySpark for writing and executing complex queries. Proven experience in performance tuning to optimize job execution. Advanced proficiency in leveraging Gen AI models using APIs/SDKs. Expertise in cloud data lakehouse platforms such as AWS Data Lake, Databricks, or Hadoop. Proficiency in relational data stores like Postgres, Oracle, or similar, and NoSQL data stores like Cassandra, DynamoDB, or MongoDB. Advanced proficiency in Cloud Data Warehouses such as Snowflake or AWS Redshift. Experience with scheduling/orchestration tools like Airflow or AWS Step Functions. Proficiency in Unix scripting, data structures, and data serialization formats like JSON, AVRO, or Protobuf. Knowledge of big-data storage formats such as Parquet or Iceberg. Familiarity with data processing methodologies like batch, micro-batching, or streaming. Experience with data modeling techniques such as Dimensional, Data Vault, Kimball, or Inmon. Understanding of Agile methodology, TDD/BDD, and CI/CD tools. Preferred Qualifications: Knowledge of data governance and security best practices. Experience in conducting data analysis to support business insights. Strong expertise in Python and Spark. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $65 - $70 The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at

Overview TeleWorld Solutions is seeking a Data Analyst/Data Scientist AI/ML Engineer to join our team! As a Data Analyst/Data Scientist AI/ML Engineer , you will work under the coaching of Senior and Lead engineers of the Data Science & Tools Team to analyze Samsung's deployed network elements. You will utilize skills to query databases to extract data, use skills in Python or R to analyze data such that you can identify 4G/5G network infrastructure and performance issues and build prediction models, ad-hoc tools, and dashboards to communicate your findings with your team and peers. TeleWorld Solutions is a strategic wireless engineering and consulting firm offering network operators, OEMs and tower companies' turnkey design, optimization, network dimensioning, and deployment services. With the experience of hundreds of thousands of successful implementations, including macro, DAS, Small Cells, and Wi-Fi, the world's leading network operators and OEMs trust our knowledge and experience to plan, perform, troubleshoot, and implement an array of technologies and solutions. TeleWorld helps customers plan, design, manage, measure, and monetize opportunities throughout the network lifecycle and across every element of their network. Come join our Veteran-Friendly Team. The Company with Great Benefits and certified as "A Great Place to Work". Responsibilities • 7+ years of professional experience in Data Science, Data Analytics, and/or Data Engineering with abilities to work with large datasets using demonstrated statistical, predictive modeling and machine learning methods.• 3-5 years demonstrated experience on designing, deploying, and maintaining large scale ML systems in a production environment.• Work closely with the internal and external stakeholders to explore relationships of 4G/5G KPI measurements and targets (KPI, KQI) for 4G/5G RAN product acceptance and performance monitoring.• Collaborate with RF engineers, network engineers, data scientists, platform engineers, product teams, and operations stakeholders to ensure ML outputs are technically accurate, interpretable, and operationally useful.• Utilize A/B testing, statistical, and machine learning models to build robust mechanism for product & feature performance analysis, for evaluation of new product & SW releases and 3rd party product evaluation.• Aid in product & feature performance analysis, evaluation of new product & SW releases and 3rd party product evaluation using analytics/data science to drive intelligent business decisions.• Work with the team to proactively define and interpret data/metrics/KPIs, analyze results, and provide insights to determine operational impact, trends and opportunities for all the 4G/5G RAN products.• Prototyping use cases, implementing automations, and developing tools to support and augment manual or repetitive efforts.• Communicate key findings to stakeholders using visualizations and/or other suitable methods.• Excellent verbal and written communication skills to communicate technical and complex concepts in an easy-to-follow progression.• Able to compile analysis output and findings into a succinct story for technical and non-technical audiences.• Adapt to changes in a dynamic business environment and, support management initiatives. Qualifications • Graduate Degree in Computer Science, Statistics, Data Science or a related Data Engineering with 7+ years of professional experience is preferred.• Programming experience: Python & Spark (preferred) and/or other languages such as R , SQL, Hive, Spark, Javascript, Visual Basic, C++, shell scripting in a linux or IDE environment such as VSCODE, Jupyter, RStudio, etc.• Cloud Development Experience - AWS/Azure/Google utilizing cloud providers such as Databricks or Snowflake• Machine learning expertise: GLM Regression (Linear, Logistic, Multinomial), Decision Tree (including Boosted Trees, Random Forest), kMeans/Hierarchical Clustering, Principle Component Analysis, t-SNE, Neural Networks such as transformers and auto-encoders, Bayesian Regression, and Times Series Modeling.• Experience using data with high-volume (1TB+) & high-dimensionality (500+ variables per schema), especially within a big data framework (HaDoop, Citus, MongoDB, etc).• Experience performing Data Wrangling, Exploratory Data Analysis (EDA), Correlation Analysis, Statistical Methodologies (distributions, hypothesis testing, confidence intervals) & Significance Testing, A/B Testing.• Experience with MLOPS concepts and environments such as MLFLOW a plus.• Experience with basic linux administration and software development in a linux environment.• Experience in hardware resource management and configuration - CUDA, Docker, KubeFlow, Kubernetes, etc a plus• Must possess qualities of being curious and eagerness to learn .• Experience with data visualization and ability to quickly grasp statistical methods, and methodologies. Maintain a strong command of current data analytics technology trends, including emerging paradigms and practices.• Demonstrated research and problem solving skills via prior work experience. Experience with wireless infrastructure provider and/or operator is desired.• Technical knowledge of any wireless technology & procedures including CDMA/EVDO/LTE/Volte and/or 5G a plus.• Experience with evaluating service performance trends and proactively defining RAN system performance related issues a plus.• Experience of software version control, coding best practices, and use of development management software such as github, bitbucket, etc is desired.• Must have a strong work ethic, integrity and work extremely well independently or in a team environment. Join Our Veteran-Friendly Team: Are you a veteran or a veteran spouse with expertise in telecommunications? Join our team at TeleWorld Solutions, where we value your military experience and provide great benefits. We invite all veterans and veteran spouses to bring their skills and dedication to our team. TeleWorld Solutions is committed to employing a diverse workforce and provides Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

Job Title: Data Engineer III Location: (City, State) Duration: Contract - 14 months Pay Range: $67/hr $73/hr (W2) Job ID: 406749 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Data Engineer III to join our dynamic team. The ideal candidate will have strong experience in designing and building scalable data management systems, data mining, and algorithm development and a proven ability to deliver reliable data platforms, predictive models, and integrations that meet business requirements. Responsibilities: Design, construct, install, test, and maintain data management systems. Build high-performance algorithms, predictive models, and prototypes. Ensure systems align with business requirements and industry practices. Integrate new data management and software engineering technologies into existing data structures. Develop processes for data mining, data modeling, and data production. Create custom software components and analytics applications. Research new uses for existing data and data acquisition. Employ diverse languages and tools to connect and integrate systems. Collaborate with data architects, IT, and data scientists to meet project goals. Install and update disaster recovery procedures. Recommend improvements to enhance data reliability and quality. Required Skills & Qualifications: Technical degree or related work experience. Experience with relational and non-relational databases such as SQL, MySQL, NoSQL, Hadoop, and MongoDB. Experience programming and architecting back-end solutions in languages such as Java or J2EE. Knowledge of data mining practices, algorithms, and applied data usage. Preferred Skills: Experience building predictive models and prototypes in production environments. Familiarity with disaster recovery planning and implementation. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits Opportunities for growth with global clients A supportive, inclusive culture that values innovation and people Exposure to cutting-edge technologies and projects About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.

Your Tech Skills Are Still Relevant - Let's Prove It ! Let's Get you Hired with a Process Many job seekers assume their skills have expired simply because they've been out of the workforce or recently laid off. But the truth is, your foundation is still valuable - it just needs sharpening. SynergisticIT helps you refresh your technical abilities through hands on tech stack updation, real world projects, and updated tools that match today's hiring standards. You'll also receive interview preparation and direct marketing to Fortune 500 clients, giving you visibility that most job seekers never get. Your skills aren't outdated - they're underutilized. Synergisticit helps you bring them back to life and into the job market with confidence. Re entering the tech industry can feel overwhelming, especially after a layoff or career gap. But you don't have to do it alone. SynergisticIT gives you a fast, structured path back into the field. If you've been unemployed for 3-6+ months-or longer-you've probably seen how quickly the market can change. A career gap or an outdated tech stack can reduce callbacks, even when you have talent. Recruiters may assume your skills are outdated or your confidence is lower. But gaps don't define ability. They simply require a strategy: refresh your stack, rebuild proof of work, and re-enter with structure. Since 2010, SynergisticIT has helped candidates return to the workforce and land full-time jobs at major employers-companies like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Citi, JPMC, Walmart Labs, Deloitte, and more-often with offers between $90,000 and $154,000 depending on role and expertise. Why gaps hurt-and how to neutralize them Employers worry about currency: are your tools current? Can you still perform? The solution is demonstrating recent, relevant work: projects, certifications, and interview readiness. JOPP helps you rebuild that proof and confidence systematically. Current role demand (expressed with variety) SynergisticIT commonly supports hiring pipelines for roles such as junior software programmer, Java full stack engineer, Python/Java developer, DevOps/cloud engineer, plus data-track roles like data analyst, BI analyst, data engineer, data scientist, and ML/AI engineer. The focus areas remain: Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI. Why programs don't fix gaps Many candidates with gaps try "one more course," but that rarely changes outcomes. Ideal candidates for gap-to-offer support Professionals returning after layoffs or personal reasons Candidates with limited recent experience but strong potential Recent grads who never launched properly International candidates on F1/OPT with timeline pressure SynergisticIT provides guidance around STEM extension and process support for H-1B/Green Card filing once employed (as applicable through employers). Want to see credibility and event participation? If you want to explore here are the key links: please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates Technical Skills or Experience? Which one is important to get a Job? Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): USA Today feature Discover JOPP: Contact: A gap isn't the end of your career. It's a chapter-and you can write the next one strategically. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

Job Description Architect the Future of Enterprise Intelligence TheSenior Data Architectprovides 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 spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget 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 asS3, 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. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; 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, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, 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 ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & 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) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. 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 incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata 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 Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. 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/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong 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 TheSenior Data Architectprovides 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 spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget 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 asS3, 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. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; 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, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, 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 ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & 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) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. 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 incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata 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 Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. 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/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong 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 TheSenior Data Architectprovides 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 spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget 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 asS3, 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. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; 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, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, 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 ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & 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) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. 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 incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata 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 Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. 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/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong 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 TheSenior Data Architectprovides 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 spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget 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 asS3, 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. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; 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, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, 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 ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & 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) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. 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 incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata 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 Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. 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/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong 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 TheSenior Data Architectprovides 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 spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget 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 asS3, 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. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; 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, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, 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 ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & 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) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. 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 incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata 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 Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. 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/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong 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 TheSenior Data Architectprovides 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 spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget 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 asS3, 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. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; 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, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, 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 ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & 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) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. 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 incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata 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 Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. 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/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong 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.