Data Architect
RADcubeBangalore (division)1 day ago
Job description8+ 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. 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.
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
Preferred Skills
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Data Architect • Bangalore (division)