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

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

10 years

0 Lacs

trivandrum kerala india

Posted:1 day ago| Platform:

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Skills Required

consulting ai data aws databricks support technology drive design architecture integration layers discovery development compliance orchestration logic tooling management documentation enablement engineering flow pipeline spark azure gcp cataloging governance sdtm devops containerization strategy transactions

Work Mode

On-site

Job Type

Full Time

Job Description

At EY, you’ll 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 we’re 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)

Experience: 10+ Years
Employment Type: Full-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 cases—from early discovery through development and regulatory readiness.
Define architecture patterns for L1–L3 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 L1–L3 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 data—CI/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.

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