You will serve as the technical and functional data steward for our pharma manufacturing data analytics platform, built on Azure Databricks
Job Summary
You will serve as the technical and functional data steward for our pharma manufacturing data analytics platform, built on Azure Databricks.
You will conduct systematic data profiling, data quality assessments, and root cause analysis across Azure Databricks data assets, identifying and resolving data anomalies, gaps, duplicates, and inconsistencies at the source and in the data pipeline.
By collaborating with source system owners and IT teams, you will trace data provenance, map data flows from source systems into the Databricks Lakehouse, and document transformation logic to support data traceability for GMP compliance.
Matching Summary
You will serve as the technical and functional data steward for our pharma manufacturing data analytics platform, built on Azure Databricks.
Skills & Requirements
Must-have
Azure Databricks platform expertise
Pharma manufacturing data systems
Data profiling and quality assessment
Data cleansing and transformation pipelines
Data lineage and metadata documentation
GMP data integrity principles
Nice-to-have
Subject matter expertise in manufacturing data
Bridging technical and business language
Collaboration with data governance
Proactive data quality monitoring
Key Requirements
6+ years in data engineering, stewardship, or management
5+ years with manufacturing data systems (MES, LIMS, ERP, PI)
3+ years with Azure Databricks or comparable cloud lakehouse
Bachelor's degree or equivalent practical experience