Senior Delivery Consultant - Data , Professional Services, AWSI HCLS

About the role

The Amazon Web Services Professional Services (ProServe) team is seeking a Delivery Consultant specializing in Data to join our Healthcare and Life Sciences (HCLS) practice. You will be at the center of the most consequential shift in enterprise technology: making organizations truly AI-ready. Every agentic AI system, foundation model, and GenAI application depends on the data layer beneath it—you will design and implement modern data platforms (lake, lakehouse, mesh), architect data pipelines, and build enterprise RAG architectures, vector stores, semantic ontologies, and knowledge graphs to enable AI systems to reason accurately and execute autonomously within regulated environments.

You will work hands-on inside HCLS customer environments with complex data lineage, regulatory overlays (GxP, HIPAA, CDISC), and legacy systems, delivering production-grade data products for downstream consumers like ML model training and agentic orchestration layers. The AWS Professional Services organization helps customers realize their desired business outcomes when using AWS services, collaborating with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing and AI transformation initiatives. This role requires approximately 50% co-location on site with customer, AWS, and partner teams within the U.S.

Responsibilities

• Design and implement production-grade data pipelines, data lakes, lakehouses, and data mesh architectures within enterprise HCLS environments, integrating with legacy systems and existing data governance frameworks.
• Build data products that serve multiple downstream applications and use cases—from AI/ML model training to agentic AI systems—ensuring data quality, lineage, and reliability at scale.
• Operate with a high degree of autonomy within fast-moving delivery engagements, making judgment calls on data modeling, pipeline design, and architecture without waiting for perfect specifications or constant oversight.
• Navigate complex data access, security, and privacy requirements unique to pharma and healthcare, including GxP compliance constraints, HIPAA, and regulatory data governance frameworks.
• Architect contextual knowledge layers, including ontologies and knowledge graphs leveraging AWS Context, Amazon Bedrock Knowledge Bases, and custom ontology extensions to equip AI agents with the vocabulary and guardrails to reason accurately and execute autonomously within regulated environments.
• Collaborate across organizational boundaries to secure data access, understand source system context, and resolve data quality challenges with teams across customer IT, business, and partner organizations.
• Deliver iteratively when requirements are ambiguous, translating incomplete business needs into well-architected data solutions that can evolve as customer understanding matures.
• Apply AI-DLC (AI-accelerated Development Life Cycle) methodologies to data delivery to redesign data workflows to become AI-native for accelerated scale and pace.

Requirements

• 5+ years of cloud architecture and solution implementation experience.
• Bachelor's degree, or 7+ years of professional or military experience.
• 5+ years of experience in data engineering, data architecture, and/or data platform development, with hands-on implementation of production data pipelines.
• Experience with modern data platform design patterns, including data lakes, lakehouses, data mesh, and zero-ETL patterns and streaming architectures, using services such as Amazon SageMaker Lakehouse, SageMaker Unified Studio, Amazon S3 Tables, Amazon Redshift, and zero-ETL integrations.

Preferred Qualifications

• AWS certifications in Data Analytics or Machine Learning Specialty.
• Experience in the healthcare and life sciences industry, including familiarity with compliance and security frameworks (HIPAA, GxP) and clinical data standards (OMOP, CDISC, FHIR).
• Hands-on experience with Apache Iceberg, Spark, Databricks, Snowflake, Kafka, or equivalent distributed data processing frameworks.
• Experience designing and implementing knowledge graph architectures, ontology models, or semantic data layers that support AI/ML and agentic AI systems.
• Experience with data governance and cataloging tools (e.g., AWS Glue Data Catalog, Collibra, Alation) and data lineage tracking, and designing data access patterns that support identity and least-privilege access.
• Experience collaborating with customer business teams, IT, and partner organizations to understand data requirements, resolve access challenges, and convey technical concepts to both technical and business audiences.
• Proficiency in AI-DLC or equivalent AI-accelerated development methodologies—including prompt engineering as a development discipline, mob programming with AI, and experience validating AI-generated data pipeline code for production deployment in regulated environments.

About the team

Diverse Experiences: Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed, we encourage candidates to apply.

Why AWS: Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, helping customers from startups to Global 500 companies trust our robust suite of products and services.

Work/Life Balance: We value work-life harmony and strive for flexibility as part of our working culture. Success at work should never come at the expense of sacrifices at home.

Inclusive Team Culture: AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion, and our inclusion events foster stronger, more collaborative teams. Innovation thrives on bold ideas, fresh perspectives, and passionate voices.

Mentorship and Career Growth: We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. You’ll find endless knowledge-sharing, mentorship, and career-advancing resources to help you develop into a better-rounded professional.

Pay

• USA, CA, Mountain View: $176,600.00 - $239,000.00 USD annually
• USA, IL, Chicago: $153,600.00 - $207,800.00 USD annually
• USA, MA, Boston: $153,600.00 - $207,800.00 USD annually
• USA, NC, Raleigh: $153,600.00 - $207,800.00 USD annually
• USA, NJ, Jersey City: $169,000.00 - $228,600.00 USD annually
• USA, NY, New York: $169,000.00 - $228,600.00 USD annually
• USA, VA, Arlington: $153,600.00 - $207,800.00 USD annually
• USA, WA, Seattle: $153,600.00 - $207,800.00 USD annually

Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.

Benefits

• Comprehensive health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, and optional supplemental life plans).
• Employee Assistance Program (EAP), Mental Health Support, and Medical Advice Line.
• Flexible Spending Accounts.
• Adoption and Surrogacy Reimbursement coverage.
• 401(k) matching.
• Paid time off and parental leave.

Learn more about our benefits at amazon.jobs/en/benefits.