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Vantor is seeking a Principal/Chief Engineer to lead design and delivery of modern web, data, and cloud solutions. You will own technical direction, drive architecture for scalable products, and guide teams building custom software, automation, and integration services. Partner closely with clients, translate business needs into robust systems, and uphold engineering best practices. Mentor senior engineers, champion DevOps and CI/CD, and foster a culture of learning, craftsmanship, and pragmatic, high quality delivery in an agile, low ego environment.

Vantor, Inc. is seeking a Staff Software Engineer to lead the design and delivery of scalable AI-driven solutions within our Information Technology organization. In this senior technical role, you will architect complex systems, productionize machine learning and neural network models, and guide implementation across cloud-native platforms. You'll partner closely with data scientists, product leaders, and engineers, mentoring teams while championing innovation, diversity, and continuous learning. This position offers the opportunity to shape Vantor's AI capabilities, drive digital transformation for our clients, and set engineering best practices across the organization.

City/State Virginia Beach, VA Work Shift Multiple shifts available Overview: Sentara is hiring a Senior MLOps & Generative AI Engineer! This position is fully remote! Candidates must reside in one of the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, West Virginia, Wisconsin, or Wyoming. Overview We are seeking a highly skilled and experienced Senior MLOps & Generative AI Engineer to join our growing AI organization and help advance current and future initiatives applying machine learning, deep learning, NLP, and Generative AI technologies to improve healthcare outcomes and operational excellence. This role combines two critical focus areas: MLOps Engineering - building and scaling enterprise-grade ML infrastructure, deployment pipelines, observability, governance, and automation capabilities. Generative AI Engineering - designing, architecting, deploying, and optimizing secure, production-ready GenAI applications and platforms leveraging LLMs, RAG architectures, vector databases, prompt orchestration, and AI evaluation frameworks. As a Senior Engineer, you will partner closely with AI Scientists, Data Engineers, Software Engineers, Architects, and Product teams to operationalize AI/ML and Generative AI solutions at enterprise scale. You will play a key role in shaping the organization's AI platform strategy, driving best practices, and delivering scalable, secure, and reliable AI systems in production healthcare environments. Key Responsibilities MLOps Engineering Responsibilities Design, build, and maintain scalable ML infrastructure and pipelines supporting model training, deployment, monitoring, governance, and lifecycle management. Develop and optimize CI/CD pipelines for machine learning and AI workloads across development, staging, and production environments. Build reusable ML platform capabilities including feature stores, model registries, experimentation frameworks, artifact management, and deployment automation. Implement scalable orchestration and workflow solutions for batch and real-time ML inference workloads. Create robust monitoring systems to measure model performance, detect model drift, monitor data quality, and ensure production reliability. Develop automation tools and self-service capabilities to improve the efficiency, scalability, and reliability of MLOps processes. Collaborate with Data Scientists and Software Engineers to streamline the ML lifecycle from experimentation through enterprise production deployment. Apply software engineering best practices to AI/ML systems including testing, observability, resiliency, security, versioning, and infrastructure-as-code. Identify gaps and improvement opportunities within the organization's ML platform ecosystem and architect scalable solutions to address them. Support enterprise AI governance, compliance, auditability, and model risk management requirements. Ensure platform scalability, reliability, security, and operational excellence across AI/ML systems. Generative AI Engineering Responsibilities Lead the architecture, design, and deployment of enterprise Generative AI solutions leveraging LLMs, foundation models, and agentic AI systems. Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases, embeddings, semantic search, reranking, and retrieval optimization strategies. Build scalable LLM orchestration frameworks using technologies such as LangChain, LlamaIndex, Semantic Kernel, or equivalent frameworks. Develop advanced prompt engineering strategies, prompt chaining, context management, and agent workflows to improve LLM accuracy and reliability. Evaluate and implement fine-tuning, parameter-efficient tuning, and prompt-based optimization approaches for domain-specific use cases. Build AI evaluation and benchmarking frameworks to measure hallucination rates, response quality, grounding accuracy, toxicity, bias, latency, and business performance metrics. Implement AI safety guardrails, governance controls, content filtering, and responsible AI practices for enterprise healthcare environments. Design scalable GenAI APIs and microservices supporting high-throughput enterprise AI applications. Optimize GenAI systems for cost, latency, throughput, and inference performance across cloud and hybrid environments. Integrate enterprise data sources, healthcare systems, and knowledge repositories into secure GenAI workflows. Research and evaluate emerging GenAI technologies, open-source frameworks, and foundation models to drive innovation and continuous improvement. Develop architecture diagrams, technical roadmaps, implementation strategies, and executive-level documentation for enterprise AI initiatives. Collaborate with cybersecurity, compliance, and infrastructure teams to ensure secure and compliant deployment of GenAI solutions involving PHI and sensitive healthcare data. Contribute to the development of AI platform standards, reusable GenAI accelerators, templates, and engineering best practices. Required Qualifications 5+ years of experience building and deploying production software, ML systems, or AI platforms. 1+ years of hands-on experience building production Generative AI or LLM-based applications. Strong programming skills in Python and experience with software engineering best practices. Experience with major deep learning and LLM frameworks such as PyTorch, Hugging Face Transformers, TensorFlow, or equivalent. Hands-on experience implementing RAG architectures, vector search, embeddings, prompt engineering, and LLM orchestration frameworks. Experience with vector databases such as Pinecone, Weaviate, Chroma, FAISS, Milvus, or equivalent technologies. Experience deploying AI/ML systems in cloud environments including AWS, Azure, or GCP. Strong understanding of APIs, distributed systems, microservices, and scalable backend architectures. Experience with Kubernetes, containerization, orchestration, and cloud-native infrastructure. Experience implementing CI/CD pipelines, infrastructure automation, and MLOps best practices. Experience building monitoring, observability, and alerting solutions for ML and AI systems. Strong understanding of AI/ML lifecycle management, governance, model versioning, and production operations. Experience designing secure, scalable, production-ready AI platforms and services. Strong communication and collaboration skills with the ability to work across technical and business teams. Preferred Qualifications Previous experience implementing Generative AI and MLOps solutions within healthcare environments. Experience working with EPIC or healthcare interoperability platforms. Understanding of HIPAA, PHI handling, healthcare compliance, and responsible AI practices. Experience with AI governance frameworks, LLM evaluation methodologies, and AI safety tooling. Experience with GPU infrastructure optimization and scalable inference architectures. Familiarity with multi-agent AI systems and autonomous workflows. Experience with event-driven architectures, streaming pipelines, and real-time inference systems. Exposure to model fine-tuning techniques including LoRA, PEFT, RLHF, or domain adaptation strategies. Experience with enterprise AI platform architecture and internal developer platforms. Prior experience mentoring engineers and leading technical initiatives. Education 5+ years of relevant experience with a degree (Required) or 7+ years of relevant experience without a degree (Required) Experience in lieu of Bachelor's Degree. Certification/Licensure No specific certification or licensure requirements Experience 5 to 7 years of relevant experience We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for Full Time employment is: $91,416.00 - $152,380.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 • Reimbursement for certifications and free access to complete CEUs and professional development •Pet Insurance •Legal Resources Plan . click apply for full job details

City/State Virginia Beach, VA Work Shift First (Days) Overview: Sentara is hiring for a Senior Specialty Infrastructure Engineer! This is a hybrid role. Opportunity for additional incentive! Overview Specialty Infrastructure engineering includes updating hardware required for maintenance of cloud, network, and telecommunication and any connectivity issues that could crop up, detecting system and application issues, and ensuring the smooth flow of data and voice throughout the organization. IT Specialty infrastructure engineers manage the security of computer systems, networks, telecommunication, and inter-application information transfers. They ensure optimum uptime for the complete network, telecom, cloud services, cloud storage, and cloud servers. The engineer also improves, plans capacity, and designs infrastructure engineering projects. An Experienced Professional applies practical knowledge of job areas typically obtained through advanced education and work experience. Responsibilities typically include: • Works independently with general supervision. • Problems faced are difficult but typically not complex. • May influence others within the job area through explanation of facts, policies, and practices. Education 5+ years of relevant experience with a Bachelor's degree(Required) or 7+ years of relevant experience without a Bachelor's degree(Required) Certification/Licensure CCNP Certification (Preferred) Experience We are looking for candidates with solid Cisco Catalyst route/switch experience. Knowledge of BGP routing would be a plus. Other pluses would be: Cisco/Fortinet Firewall experience Cisco Wireless and Juniper Mist Wireless experience Juniper Routing and switching configuration experience Physical Requirements Requires the ability to go on-site to Sentara sites to perform troubleshooting, installation, repair, and replacement of physical networking equipment. Valid driver's license required - Ability to operate a motor vehicle and drive distances of greater than 100 miles/3 - 4 hours as required Must be able to work in active construction sites with appropriate PPE Must be able to perform basic physical tasks such as lifting 25 - 50lbs, occasional ladder use, reading, nimbleness of hands for typing and writing Talroo-IT . Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 • Reimbursement for certifications and free access to complete CEUs and professional development • Pet Insurance • Legal Resources Plan • Colleagues may have the opportunity to earn an annual discretionary bonus if established system and employee eligibility criteria is met Sentara Independence provides quality outpatient services to the surrounding community. The facility includes an ambulance-accessible emergency room that is supported by board-certified physicians. Sentara Independence houses state-of-the-art medical equipment and highly-skilled physicians and staff. Sentara Independence is now an extension of the quality services at Sentara Virginia Beach General Hospital including advanced imaging and physical therapy. Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves. In support of our mission "to improve health every day," this is a tobacco-free environment. For positions that are available as remote work, Sentara Health employs associates in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.

City/State Norfolk, VA Work Shift First (Days) Overview: Sentara is hiring a Senior Business Systems Analyst! This position is fully remote. Overview Position is responsible for support, enhancement and implementation software applications used within the organization. Oversees and directs intermediate scale projects or components of large-scale projects; develops project plans and timelines and coordination of project resources. Description Incumbent will identify opportunities to leverage technologies in areas that improve and enhance the business practices by designing and implementing application/product enhancements. Works with and is a liaison to customers and end-users, appropriate IT personnel and software vendors on a regular basis to align technology functionality to operational processes. Assess, research, analyze, and document stakeholder needs, selecting the appropriate information gathering and/or modeling technique to elicit requirements. Develop detailed test cases, execute them, and share results with business and tech managers for approval. Work jointly with developers to solution and provide cost and time estimates on fixes and enhancements. Performs longer term analysis and design of systems and hardware to maintain the production environments. Synthesize requirements and develop recommendations that best meet the objectives of the business. Works on project teams that are developing or modifying very complex information systems. Education Bachelor's degree preferably in a field such as Computer Science , Business, Technical, Education, Information Systems, Finance, Business Administration, Accounting, Engineering, Information Technology ( Required ) or Candidates without a bachelor's degree with 6 or mo re years of relevant experience may be considered. Experience: 4 years of relevant experience (Required) Advanced SQL experience (Required) Experience with EDI-834 files (Required) Experience working with QNXT and/or Facets is nice to have Member enrollment experience is a plus. Experience with Clarity - ID card-related configuration and member eligibility processes is a plus Experience with Medicaid, commercial health plans, and marketplace coverage is a plus. Proficiency in SQL, HTML, and CSS (Preferred) We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for Full Time employment is: $69,876 - $116,438. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities Talroo-IT Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 • Reimbursement for certifications and free access to complete CEUs and professional development •Pet Insurance •Legal Resources Plan •Colleagues have the opportunity to earn an annual discretionary bonus ifestablished system and employee eligibility criteria is met. Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves. In support of our mission "to improve health every day," this is a tobacco-free environment. For positions that are available as remote work, Sentara Health employs associates in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.

City/State Richmond, VA Work Shift Multiple shifts available Overview: Sentara Health Plans is looking to hire a Senior Business System Analyst! This is a fully remote position. Remote opportunities available in the following states: Virginia, North Carolina, Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington (state), West Virginia, Wisconsin, Wyoming. Description This position is responsible for support, enhancement and implementation software applications used within the organization. Oversee and directs intermediate scale projects or components of large-scale projects; develops project plans and timelines and coordination of project resources. Incumbent will identify opportunities to leverage technologies in areas that improve and enhance business practices by designing and implementing application/product enhancements. Works with and is a liaison to customers and end-users, appropriate IT personnel and software vendors on a regular basis to align technological functionality to operational processes. Assess, research, analyze, and document stakeholder needs, selecting the appropriate information gathering and/or modeling technique to elicit requirements. Develop detailed test cases, execute them, and share results with business and tech managers for approval. Work jointly with developers to solution and provide cost and time estimates on fixes and enhancements. Performs longer term analysis and design of systems and hardware to maintain the production environments. Synthesize requirements and develop recommendations that best meet the objectives of the business. Works on project teams that are developing or modifying very complex information systems. Education Bachelor's degree preferably in a field such as Computer Science, Business, Technical, Education, Information Systems, Finance, Business Administration, Accounting, Engineering, Information Technology (Required) Or Candidates without a bachelor's degree with 6 or more years of relevant experience may be considered. Experience: 4 years of relevant experience (Required) Proficiency in SQL, HTML, and CSS (Preferred) Experience with pricing configuration in NetworX Pricer (Preferred) Experience in claims editing (Required). NetworX Payment Bundling Administration (PBA), Optum Claims Edit System (CES) or Zelis. (Preferred) Experience with pricing configuration for Commercial plans (Required) Experience with QNXT preferred but will accept experience with Facets We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for Full Time employment is: $69,867- $116,438. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities Talroo-IT, pricing configuration, NetworX Pricer, pricing, NetworX Payment Bundling Administration (PBA), Optum Claims Edit System (CES), Zelis, fee schedule, pricing analyst, QNXT, Facets, SQL, Medicare, Medicaid, commercial, provider agreement, provider contract, configuration analyst, configuration, pricing configuration, NetworX, Pricer, NetworX Pricer, contract implementation, business analyst, commercial health plan, health plan Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 • Reimbursement for certifications and free access to complete CEUs and professional development •Pet Insurance •Legal Resources Plan •Colleagues have the opportunity to earn an annual discretionary bonus ifestablished system and employee eligibility criteria is met. Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves. In support of our mission "to improve health every day," this is a tobacco-free environment. For positions that are available as remote work, Sentara Health employs associates in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

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.

Job Description Pay Range: $96,000 - $119,000 depending on relevant experience and qualifications MITER Brands is a residential window and door manufacturer that provides a leading portfolio of window and door brands for the new construction and replacement segments. MITER Brands, also known as Milgard, MI Windows & Doors and PGTI is one of the nation's largest suppliers of vinyl windows and patio doors, with plants across the country. The Senior Business Systems Analyst serves as a strategic and hands-on partner between manufacturing operations and technology, translating evolving business needs into scalable system solutions. This role aims to drive alignment between ERP, production systems, and business processes to enhance operational efficiency, data integrity, and overall plant performance. The Sr. BSA plays a key role in leading initiatives, influencing stakeholders, and ensuring successful delivery and adoption of technology solutions across the organization. Responsibilities Lead cross-functional collaboration with operations, warehouse, quality, engineering, and IT teams to define, prioritize, and translate business requirements into scalable system solutions.Analyze and optimize end-to-end business processes and system workflows, identifying opportunities to improve efficiency, reducing manual effort, and enhance data accuracy across manufacturing operations.Own the design, implementation, and ongoing support of ERP and related systems, ensuring alignment with inventory management, production, supply chain, and quality control processes.Act as the primary escalation point for plant-level ERP and HMI issues, driving timely resolution of complex problems while minimizing operational downtime.Provide oversight of system integrations between ERP, HMI, and production equipment, ensuring reliable data flow and accuracy of MES-related metrics such as production, yield, and scrap.Lead system testing and validation efforts, including test strategy, coordination of user acceptance testing (UAT), and validation in non-production environments prior to release.Partner with corporate IT and vendors to plan and execute system updates, patches, and enhancements; ensure proper change control, documentation, and system stability.Develop and drive user enablement strategies, including role-based training, documentation (SOPs, quick reference guides, one-point lessons), and continuous feedback loops to improve adoption.Lead change management initiatives for system implementations, upgrades, and process changes; provide hands-on support during go-lives and critical production periods.Establish and maintain standardized documentation practices, serving as a key knowledge resource and bridge between plant operations, IT, and external vendors.Leverage system data, reporting, and user feedback to identify trends, root causes, and improvement opportunities; drive corrective and preventive actions.Champion continuous improvement initiatives (, Lean, Six Sigma, Kaizen), using ERP and production data to influence decision-making and deliver measurable business outcomes.Mentor junior analysts or team members as applicable, promoting best practices in requirements gathering, documentation, and solution delivery. Qualifications Required: Bachelor's degree in Information Technology, Business Administration, or a related field, or equivalent practical experience.5+ years of experience as a Business Systems Analyst, with a strong focus in manufacturing or similar operational environments.Demonstrated experience leading system implementations, enhancements, or cross-functional initiatives.Strong expertise in requirements gathering, process mapping, and functional specification development.Deep understanding of manufacturing processes, including production, inventory, and supply chain workflows.Proven ability to troubleshoot complex system issues and drive resolution across multiple teams.Experience with ERP systems and integrations with shop floor systems (, HMI/MES).Strong analytical, problem-solving, and data interpretation skills.Excellent communication and interpersonal skills, with the ability to influence stakeholders at multiple levels.Strong organizational skills with the ability to manage multiple priorities and deadlines.Self-starter with the ability to quickly learn and adapt to complex technical and operational environments. Preferred: Experience supporting or implementing ERP systems in a plant environment.Familiarity with Lean, Six Sigma, or other continuous improvement methodologies.Experience working with system integrations, middleware, or data mapping between platforms. Behavioral Competencies CollaboratesDrives ResultsCustomer FocusAction OrientedValues DifferencesDrives Engagement What We Offer At MITER Brands, we invest in your health, wealth, and wellness. Our comprehensive benefits package supports you and your eligible spouse/dependents while helping you achieve your personal and professional goals. We offer competitive pay, a 401(k) with company match, and generous paid time off to help you maintain a healthy work-life balance. Health & Wellness Three comprehensive medical plan optionsPrescription drug coverageDental insuranceVision insuranceTeladoc virtual healthcare servicesEmployee Assistance Program (EAP)Annual Wellness Clinic Financial Protection Company-paid Life InsuranceVoluntary Life InsuranceCompany-paid Short-Term DisabilityCompany-paid Long-Term DisabilitySupplemental Hospital Indemnity InsuranceCritical Illness InsuranceAccident Insurance Additional Benefits Paid Time Off (PTO) and paid holidays401(k) retirement plan with company matchTuition Reimbursement ProgramLegal InsuranceIdentity Theft ProtectionPet InsuranceTeam Member Discount Program MITER Brands, including MI Windows and Doors, Milgard, and PGT Innovations, is an Equal Opportunity Employer. We are committed to fostering an inclusive workplace and do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, or any other protected status under applicable law. Work Authorization and Sponsorship Disclosure: The Company does not offer employer sponsorship at this time. Therefore, candidates must provide truthful and complete information regarding their eligibility to work in the and any current or future need for employment sponsorship. Misrepresentation regarding work authorization or sponsorship need at any stage of the hiring process will result in disqualification from consideration, rescission of an employment offer, or termination of employment.