Data Architect

Role Overview

• We are seeking a Data Architect with strong experience in designing and implementing Data Lake architecture within Life Sciences domain. The role will focus on building scalable, governed, and compliant data platforms to support advanced analytics, regulatory reporting, and digital transformation across RD, Clinical, Regulatory, and Commercial functions.

Job Profile (Detailed description of Role, Responsibilities and Functions)

• Data Landscape Assessment Rationalization:
  • Assess current-state data ecosystems, including data sources, pipelines, and storage platforms
  • Identify redundancies, data silos, and inefficiencies, define target-state data architecture and transformation roadmap
• Technology Evaluation:
  • Evaluate and recommend data platforms and tools (data lakes, lakehouse, ETL/ELT, streaming, cataloging, analytics) aligned to business needs
  • Conduct proof of concepts (PoCs) and vendor assessments for data technologies
• Data Architecture Design:
  • Define end-to-end Data Lake architecture (ingestion, storage, processing, semantic/consumption layers)
  • Establish scalable, reusable, and modular data architecture patterns and standards
  • Develop architecture blueprints and reference architecture for enterprise data platforms
• Data Strategy Governance:
  • Define enterprise data strategy, including data sourcing, storage, access, and lifecycle management
  • Design and implement data governance frameworks (data quality, lineage, cataloging, master data management)
  • Establish data models, standards, and metadata management practices
• Data Integration Interoperability:
  • Design data ingestion frameworks (batch and real-time/streaming) from diverse structured and unstructured sources
  • Enable interoperability across enterprise systems through standardized data exchange and integration patterns
  • Define data contracts and APIs for data access and sharing
• Cloud Data Platform Modernization:
  • Drive cloud-based data lake and lakehouse implementations (AWS/Azure/GCP)
  • Modernize legacy data platforms to scalable, distributed data architectures
  • Optimize data performance, storage, and cost efficiency
• Analytics Data Consumption Enablement:
  • Enable downstream BI, reporting, and advanced analytics/AI-ML use cases
  • Design data marts, semantic layers, and curated datasets for business consumption
• Regulatory Compliance Data Security:
  • Ensure data platforms comply with GxP, 21 CFR Part 11, and other Life Sciences regulatory standards
  • Implement data security, privacy, and access control mechanisms
• Stakeholder Management and Collaboration:
  • Work with vendors and platform providers for implementation and optimization
  • Support client discussions, workshops, and solution presentations
• Best Practices Capability Building:
  • Establish data engineering and architecture best practices, reusable assets, and accelerators
  • Contribute to knowledge building, documentation, and capability development within teams

Required Skills Experience

• 5+ years of experience in data architecture / data engineering
• Strong experience in Data Lake architecture and implementation
• Strong domain experience in Life Sciences / Pharma / Biotech
• Expertise in data modeling, ETL/ELT pipelines, and big data processing frameworks
• Hands-on experience with cloud data platforms (AWS S3, Azure Data Lake)
• Knowledge of data governance, cataloging, and lineage tools
• Familiarity with structured and unstructured data processing
• Understanding of GxP and regulatory data compliance requirements

Preferred Qualifications

• Experience with tools/platforms like Databricks, Snowflake, Azure Data Factory
• Exposure to AI/ML and advanced analytics use cases on data lakes
• Experience with data lakehouse architecture
• TOGAF / Cloud certifications (AWS/Azure)

Why Join Us

• Opportunity to build next-gen data platforms for Life Sciences
• Work on large-scale data transformation and analytics initiatives
• Collaborative and high-impact consulting environment

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.