Key Responsibilities

Enterprise Architecture & Strategy

Define and maintain enterprise architecture vision, principles, standards, and roadmaps aligned with life sciences business strategy.

Develop current-state and target-state architectures across business, application, data, and technology domains.

Drive architecture for digital transformation initiatives such as data platforms, AI/ML enablement, cloud migration, and legacy modernization.

Align IT architecture with R&D;, Clinical, Manufacturing, Quality, Regulatory, and Commercial strategies.

Life Sciences Domain Architecture

Provide architectural leadership across:

Research & Discovery (scientific data, lab systems, bioinformatics platforms)

Ensure architecture supports end-to-end data flow across the life sciences value chain.

Enable FAIR data principles, data reuse, and interoperability across scientific and enterprise platforms.

Guide integration of COTS life sciences platforms with enterprise systems.

Data, Cloud & Platform Architecture

Define enterprise data architecture supporting structured, semi-structured, and unstructured scientific data.

Guide architecture for data lakes, data warehouses, analytics, and AI/ML platforms.

Support cloud and hybrid architectures (AWS / Azure / GCP) for regulated workloads.

Define integration strategies using APIs, event-driven architectures, and messaging.

Governance, Compliance & Security

Ensure architecture complies with GxP, 21 CFR Part 11, GDPR, HIPAA, and data privacy regulations.

Embed security, auditability, traceability, and validation requirements into architecture designs.

Participate in Architecture Review Boards (ARB) and governance forums.

Identify and mitigate architecture and compliance risks.

Stakeholder & Program Engagement

Partner with business leaders,



scientific teams, and IT leadership to translate strategy into executable architecture.

Act as a trusted advisor to senior stakeholders on technology choices, trade-offs, and risk.

Support large-scale programs and portfolios with architecture oversight.

Mentoring & Capability Building

Mentor Solution Architects and technical teams on enterprise and life sciences architecture best practices.

Promote reuse of standards, platforms, and reference architectures.

Contribute to improving enterprise architecture maturity.

Required Skills & Experience

Architecture & Technical Skills

Solid experience with Enterprise Architecture frameworks (TOGAF or equivalent).

Hands-on experience in:

Application Architecture (Monoliths, Microservices)

Data Architecture (Data Warehousing, Data Lakes, MDM)

Integration Architecture (APIs, ESB, Event-driven)

Cloud Architecture (AWS / Azure / GCP)

Experience modernizing legacy life sciences systems.

Life Sciences Domain Experience

4–6+ years of experience in Life Sciences / Pharma / Healthcare IT.

Strong understanding of regulated environments (GxP).

Experience with life sciences platforms such as:

LIMS, ELN, CTMS, EDC, eTMF, Safety systems, MES, QMS (any combination)

Familiarity with clinical, scientific, and manufacturing data landscapes.

Tools & Platforms (Indicative)

Architecture tools: Sparx EA, LeanIX, ArchiMate (or equivalents)

Cloud platforms: AWS / Azure / GCP

Data & analytics platforms: Data Lakes, Warehouses, Analytics tools

Integration platforms: APIs, Messaging, Middleware

Soft Skills

Strong stakeholder management and communication skills.

Ability to influence across business, scientific, and IT teams.

Strategic mindset with strong problem-solving ability.

Comfortable working with senior leadership

📌 Enterprise Architect (Chennai)
🏢 Aparajita Consultancy Services - IT Services
📍 Chennai