Description :

- Lead end-to-end development and delivery of data centric projects across HCP, HCO, Payer, and Product MDM, data warehousing, and cloud engineering.

Utilize technical expertise in cloud, master data management, data warehousing, and data transformation to develop and test high-quality data solutions.

- Document complex MDM solutions, including source to target mappings, match-merge rules, survivorship rules, and MDM architecture design considerations

- Mentor technical teams to maintain delivery excellence, consistency, and adherence to best practices.

- Partner with business and technology leaders to elevate data governance, platform performance, and overall data maturity.

Must have :

- Engineering graduate with 7-8 + years of experience delivering enterprise MDM solutions in the pharma domain.

- Strong expertise in MDM design and configuration across HCP, HCO, Payer, and Product domains using Informatica, Reltio or Azure Databricks

- Hands-on experience implementing matchmerge rules, survivorship logic, base object configuration, workflows, and data quality checks across 3+ MDM implementations

- Proficient in data modeling, data warehousing, and SQL/Python-based development and testing.

- Deep understanding of pharma datasets such as IQVIA (Xponent, DDD, LAAD), CRM, claims, SP/SD, and OneKey.

- Experience with cloud platforms like Azure (preferred) or AWS, and familiarity with modern data architecture patterns.

- Excellent communication, stakeholder management, and team leadership skills with a focus on quality and delivery excellence.