EY-GDS Consulting-AI And DATA-AWS Databricks-Manager

At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.  Technical Architect Life Sciences R&D (Manager Level)  

Experience10+ Years

Employment TypeFull-Time

 Role Overview  
As a senior Technical Architect, you will drive the design and implementation of robust and scalable architecture across data ingestion (L1), integration (L2), and consumption (L3) layers for life sciences R&D. You will collaborate with domain experts, data engineers, and product stakeholders to ensure architecture is modular, reusable, and compliant with scientific and regulatory standards.  Key Responsibilities  

Own the end-to-end data architecture supporting R&D use casesfrom early discovery through development and regulatory readiness.

Define architecture patterns for L1L3 layers in compliance with enterprise standards and scientific usability.

Collaborate with data engineers to ensure alignment with STTM mappings, orchestration logic, and consumption layer requirements.

Participate in design reviews, architecture validations, and tooling decisions across squads.

Guide cross-functional teams on cloud-native best practices, metadata management, and platform modularity.

Maintain architectural artifacts and contribute to documentation and technical enablement across teams.

 Must-Have Skills  

10+ years of experience in technical architecture or data engineering, with 3+ in life sciences or similarly regulated domains.

Deep understanding of L1L3 data flow concepts, source-to-target transformations, and modular pipeline design.

Strong proficiency in Databricks, Spark, Delta Lake, and cloud-native technologies (Azure/AWS/GCP) AWS preferred.

Exposure to SDLC in highly compliant settings (e.g., GxP, FAIR, 21 CFR Part 11).

Hands-on experience with metadata lineage, data cataloging, and integration with enterprise governance frameworks.

 Nice-to-Have Skills  

Knowledge of IDMP/RIMS standards, SDTM or STTM mappings, or other domain-specific data transformation frameworks.

Familiarity with semantic and conceptual modeling in drug discovery or clinical settings.

Experience with DevOps for dataCI/CD pipelines, containerization, and versioned releases.

EY | Building a better working world
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

.jobDisplay { padding-top40px;}div#search-wrapper { displaynone;}