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Senior Delivery Consultant - Data, Professional Services, AWSI, Healthcare and Life Sciences

Amazon· AWS India - Karnataka
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Bengaluru, HyderabadFull-timePosted 2w ago

About the role

Delivery Consultant specializing in Data within AWS ProServe HCLS practice. Focused on designing and implementing production-grade data platforms and AI-ready data architectures forHealthcare and Life Sciences, including data pipelines, lake/lakehouse/mesh, RAG architectures, and knowledge graphs to support regulated environments.

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 serving multiple downstream applications and use cases, ensuring data quality, lineage, and reliability at scale.
  • - Operate autonomously within fast-moving delivery engagements, making judgment calls on data modeling, pipeline design, and architecture with limited oversight.
  • - Navigate complex data access, security, and privacy requirements in pharma/healthcare including GxP, HIPAA, and regulatory data governance.
  • - Architect contextual knowledge layers, including ontologies and knowledge graphs leveraging AWS Context, Bedrock Knowledge Bases, and custom ontology extensions for AI agents in regulated environments.
  • - Collaborate across organizational boundaries to secure data access 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.
  • - Apply AI-DLC methodologies to redesign data workflows to be AI-native for accelerated scale and pace.

Qualifications

  • - Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or related field
  • - Experience in advanced SQL with ability to write complex queries from scratch from multiple tables
  • - Knowledge of data engineering pipelines, cloud solutions, ETL, databases, visualizations and analytical platforms
  • - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles/permissions

Skills

Required:SQLData engineeringAWS data services
Nice to have:Data governance & complianceAI/GenAI pipeline validation
Last updated Oct 25, 2026. Interested? Apply on the company site.

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