Data Architect
3 weeks ago
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.
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