Senior Delivery Consultant - Data , Professional Services, AWSI HCLS

We are seeking a Delivery Consultant specializing in Data to join our Healthcare and Life Sciences (HCLS) practice within the Amazon Web Services Professional Services (ProServe) team. You will play a pivotal role in enabling organizations to become truly AI-ready by designing and implementing the foundational data layer that powers agentic AI systems, foundation models, and GenAI applications. Your work will involve building modern data platforms, architecting data pipelines, and creating enterprise RAG architectures, vector stores, semantic ontologies, and knowledge graphs—all within highly regulated HCLS environments.

About the role

As a Delivery Consultant, you will work hands-on in HCLS customer environments, addressing complex data lineage, regulatory requirements (GxP, HIPAA, CDISC), and legacy systems. You will deliver production-grade data products that serve diverse downstream consumers, from ML model training to agentic orchestration layers. 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 in fast-moving delivery engagements, making judgment calls on data modeling, pipeline design, and architecture without waiting for perfect specifications.
• 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 accurate reasoning and execution capabilities within regulated environments.
• Collaborate across organizational boundaries to secure data access, understand source system context, and resolve data quality challenges with customer IT, business, and partner teams.
• Deliver iteratively when requirements are ambiguous, translating incomplete business needs into well-architected data solutions that evolve as customer understanding matures.
• Apply AI-DLC (AI-accelerated Development Life Cycle) methodologies to data delivery, redesigning 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.
• Experience with architecting and engineering ontologies and knowledge graphs in enterprise environments.

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, as well as 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

The AWS Professional Services organization is a global team of experts that helps customers realize their desired business outcomes when using AWS services. We collaborate with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing and AI transformation initiatives.

Amazon values diverse experiences and encourages candidates from all backgrounds to apply, even if they do not meet all the preferred qualifications. We foster an inclusive culture where curiosity, connection, and innovation thrive. Our employee-led affinity groups promote inclusion, and our inclusion events strengthen collaboration. Mentorship and career growth opportunities are abundant, with resources to help you develop into a well-rounded professional.

Benefits

Amazon offers comprehensive benefits, including:

• 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.

Pay

The base salary range for this position varies by location:

• USA, CA, Mountain View: $176,600 - $239,000 USD annually.
• USA, IL, Chicago: $153,600 - $207,800 USD annually.
• USA, MA, Boston: $153,600 - $207,800 USD annually.
• USA, NC, Raleigh: $153,600 - $207,800 USD annually.
• USA, NJ, Jersey City: $169,000 - $228,600 USD annually.
• USA, NY, New York: $169,000 - $228,600 USD annually.
• USA, VA, Arlington: $153,600 - $207,800 USD annually.
• USA, WA, Seattle: $153,600 - $207,800 USD annually.

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