⏱️ Availability: Immediate Joiners Preferred (NO Notice Period )
? Work Mode: Remote
Screening rule: Pharma domain experience is mandatory. Candidates without relevant Pharma experience should not be shortlisted.
Must-Have Skills:
- Strong Data Architecture experience delivering production-grade Lakehouse platforms and creating/defending Architecture Decision Records (ADRs).
- Hands-on Databricks on AWS – Delta Lake, Unity Catalog, Workflows/Delta Live Tables, SQL Warehouse, PySpark and Spark SQL.
- Experience migrating OLTP/PostgreSQL sources into a lakehouse, including schema evolution and complex relational/junction-heavy models.
- Solid SQL and Python skills; experience with Python-based ETL using tools such as psycopg2/openpyxl.
- Production experience with Terraform and CI/CD for data platforms.
- Strong data-quality practices including lineage, idempotent loads, reconciliation and deterministic matching.
- Experience with vector/semantic search on Databricks, including Databricks Vector Search or migration of pgvector embeddings without re-embedding.
Nice to Have:
- Entity resolution / record linkage with confidence scoring and human-in-the-loop confirmation.
- Experience serving low-latency operational workloads from a lakehouse.
- Life Sciences / Pharma or other regulated-industry experience with audit, compliance and data-retention requirements.
📌 Senior Data Architect with Pharma Domain (India)
🏢 Virtual Labs
📍 India
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