Data Architect

Data Architect

Key Responsibilities

• Design architectures for modern ecosystems (Data Lakes, Mesh, Fabric) which drives the long-term strategy for LRL Data.
• Embed pharma-specific standards (CDISC, FHIR, HL7, Allotrope, etc.) into designs.
• Drive governance, lineage, and compliance via MDM and quality frameworks.
• Influence leadership and stakeholders on data strategy and best practices.
• Lead large-scale data transformation, ETL, and pipeline design.
• Architect and maintain enterprise data models (relational, dimensional, big data).
• Partner with solution architects, business SMEs, and engineering teams to design conceptual, logical, and physical models that align with pharma standards and governance.
• A major focus will be building data products and pipelines that power critical decisions across Clinical domains.

Required Expertise

• 8+ years in large-scale data transformation and architecture.
• 5+ years in data modelling across relational, dimensional, and big data.
• Strong knowledge of pharma data (Clinical, Regulatory, CMC).
• Experience with cloud platforms (AWS, Azure, GCP) and tools (Erwin, ER/Studio, Oracle, Redshift, PostgreSQL) and other Data Platforms - Snowflake, Databricks etc.
• Strong grounding in Data Governance, MDM, and compliance frameworks.
• Proven ability to design secure, scalable, interoperable data solutions.

Preferred Skills

• AI/ML integration for predictive analytics.
• Deep understanding of pharma data privacy, security, and regulatory compliance.
• Ability to bridge strategy and execution in complex organizations.