Role Overview

We are seeking a seasoned Director /Senior Data Architect with deep expertise in data and cloud technologies to drive the architecture strategy for research and clinical development domains within a life sciences organization. The ideal candidate will combine strong enterprise architecture capabilities .

Key Responsibilities

Architecture Strategy

- Define and drive enterprise architecture vision, target state, and roadmap for data and cloud platforms

- Establish architecture principles, standards, and governance aligned to business and regulatory requirements

- Enable digital transformation across research and clinical development functions

Data Architecture &

- Engineering

- Define enterprise data strategy including data governance, data quality, metadata management, and lineage

- Architect up-to-date data platforms (data lakes, lakehouse, warehouses) supporting structured and unstructured data

- Design and oversee implementation of scalable data pipelines (ETL/ELT), data integration, and data interoperability

- Enable advanced analytics, AI/ML, and data science platforms

Cloud &

- Platform Architecture

- Lead design and adoption of cloud-native architectures on AWS, Azure, or GCP

- Define patterns for microservices, APIs, containerization, and event-driven architectures

- Ensure scalability, resilience, security, and cost optimization of cloud solutions

Integration &

- Ecosystem Enablement





- Architect integration with key research and clinical systems (e.g., EDC, CTMS, eTMF, lab systems, genomics platforms)

- Define API-first and data-sharing strategies across internal and external ecosystems

- Enable interoperability with partners, CROs, and external data providers

Governance, Risk &

- Compliance

- Ensure compliance with regulatory standards (GxP, 21 CFR Part 11, data privacy regulations)

- Lead architecture governance, reviews, and design authority processes

- Support validation, audit readiness, and documentation in regulated environments

Innovation &

- Thought Leadership

- Evaluate and onboard emerging technologies in data, cloud, and AI/ML

- Drive innovation in areas such as real-world data, digital biomarkers, and precision medicine

Required Qualifications &

- Experience

- 15+ years of IT experience with significant experience in enterprise/data architecture roles

- Strong expertise in data architecture (data lakes, lakehouse, warehouses, data governance)

- Deep experience with cloud platforms (AWS, Azure, or GCP) and cloud-native architectures

- Proven experience in life sciences with strong exposure to research and clinical development domains

- Understanding of clinical data flows, standards, and systems (EDC, CTMS, eTMF, CDISC standards)

- Strong knowledge of integration patterns, APIs, and distributed systems

- Experience working in regulated environments (GxP, 21 CFR Part 11)

📌 Director Data/Seniors Solution/Enterprise Architect-Big Data/AI (Bengaluru)
🏢 EPAM Systems
📍 Bengaluru