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Senior Delivery Consultant - Data

Amazon· Professional Services, AWSI HCLS
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Hybrid (Mountain View, CA), Hybrid (Boston, MA), Hybrid (Chicago, IL), Hybrid (Jersey City, NJ), Hybrid (New York, NY), Hybrid (Arlington, VA), Hybrid (Seattle, WA), Remote$176.6k - $239kFull-timePosted 1mo ago

About the role

Delivery Consultant specializing in Data within AWS Professional Services HCLS practice. Focus on designing and implementing modern data platforms, data pipelines, and AI-ready data architectures for Healthcare and Life Sciences, including regulatory-compliant data governance and knowledge graphs to enable AI agents and foundation models in production.

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

Qualifications

  • 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

Skills

Required:Cloud architectureData engineering & data platform developmentData lakes / lakehouses / data meshOntologies and knowledge graphs
Nice to have:Regulatory compliance (GxP, HIPAA, CDISC)

Benefits

  • Health insurance (medical, dental, vision, prescription)
  • Basic Life & AD&D insurance and option for Supplemental life plans
  • EAP, Mental Health Support
  • Flexible Spending Accounts
  • Adoption and Surrogacy Reimbursement coverage
  • 401(k) matching
  • Paid time off
  • Parental leave
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Amazon

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