We are seeking an experienced MDM Engineering Manager to lead the strategic development and operations of our Master Data Management (MDM) platforms. This is a technical, hands-on role that requires a strong background in both Data Engineering and MDM . You will manage a team of data engineers, architects, and quality experts to deliver high-performance, scalable, and governed MDM solutions that align with our enterprise data strategy. The ideal candidate will have hands-on experience with platforms like Informatica or Reltio and data engineering technologies such as SQL, Python, PySpark , and AWS .
Roles & Responsibilities
- Leadership & Team Management : Lead a team of data professionals, providing technical leadership and mentorship. You will ensure project delivery timelines are met and guide the team in implementing best practices.
- MDM Solution Implementation : Lead the implementation and optimization of MDM solutions using platforms like Informatica or Reltio . You will design solutions and deliver enhanced MDM processes and data integrations using Unix, Python , and SQL .
- Architecture & Governance : Define and drive enterprise-wide MDM architecture, including IDQ , data stewardship, and metadata workflows. You will establish data quality metrics, monitor compliance, and promote data governance, contributing to enterprise data modeling and approval workflows ( DCRs ).
- Cloud & Integrations : Manage cloud-based infrastructure using AWS and Databricks to ensure scalability and performance. You will be responsible for implementing end-to-end integrations, including API -based, Batch, and Flat file-based methods, and have strong experience with external data enrichments and match / merge rules.
- Collaboration & Innovation : Coordinate with business and IT stakeholders to align MDM capabilities with organizational goals. You will lead custom UI design for a better user experience and ensure data integrity, lineage, and traceability across all solutions.
Technical Skills
Strong hands-on experience with Databricks and AWS cloud services.Proficiency in Python, PySpark, SQL , and Unix for data processing and orchestration.Deep knowledge of MDM tools ( Informatica, Reltio ) and data quality frameworks ( IDQ ).Strong experience with data modeling, governance, and DCR lifecycle management.Proven leadership and project management in large-scale MDM implementations.Must have worked on at least three end-to-end MDM implementations.Very good understanding of reference data and its integration with MDM .Experience with Tableau or PowerBI for reporting MDM insights is a plus.Exposure to Agile practices and tools ( JIRA, Confluence ) is a plus.Any MDM certification, Data Analysis certification ( SQL, Python, PySpark, Databricks ), or cloud certification ( AWS or Azure ) is preferred.Qualifications
A Master's degree, Bachelor's degree, or a Diploma in Business, Engineering, IT , or a related field.Prior experience in the Pharma / Life Sciences industry is a plus.Soft Skills
Leadership : Proven leadership and project management skills, with the ability to mentor and manage a team effectively.Problem-Solving : Strong analytical and effective problem-solving skills to address data-related issues and implement scalable solutions.Communication : Excellent verbal and written communication skills, with the ability to convey complex data concepts to technical and non-technical stakeholders.Collaboration : The ability to work effectively with global, virtual teams.Strategic Thinking : The ability to define and drive enterprise-wide architecture and align it with organizational goals.Skills Required
Data Migration, Databricks, Aws, Technical Leadership, Sql, Unix