Job Description

We are seeking for a Data Architect with over a decade of experience designing scalable data platforms and enterprise data models for pharma and life sciences organizations. This role requires strong knowledge of SQL/NoSQL databases, distributed systems, and cloud ecosystems across AWS, Azure, or GCP. The ideal candidate will build high-volume data pipelines, real-time streaming solutions, and robust ETL/ELT frameworks supporting pharma data domains such as clinical, commercial, patient, and real-world data. Proficiency with tools like Spark, Databricks, Snowflake, and major integration platforms is essential. You will design secure, compliant data architectures aligned with GDPR, HIPAA, or CCPA. Additionally, you will drive data governance practices including data quality, cataloguing, lineage, and access control, while leading teams delivering solutions for pharma and life sciences clients.



Key Responsibilities


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