Senior Master Data Management Architect

1 week ago

Hyderabad Secunderabad Telangana, India beBeeDataManagement Full time ₹ 1,04,000 - ₹ 1,30,878

We are seeking a seasoned professional 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.

Key Responsibilities
  • Strategic Leadership: 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: Design and deliver enhanced MDM processes and data integrations using Unix, Python, and SQL.
  • Enterprise Architecture: Define and drive enterprise-wide MDM architecture, including IDQ, data stewardship, and metadata workflows.
  • Cloud Infrastructure: Manage cloud-based infrastructure using AWS and Databricks to ensure scalability and performance.
  • Collaboration & Innovation: Coordinate with business stakeholders to align MDM capabilities with organizational goals.
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.
Qualifications
  • A Bachelor's degree or higher in Business, Engineering, IT, or a related field.
  • Prior experience in the Pharma/Life Sciences industry is desirable.
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.
  • Communication: Excellent verbal and written communication skills, with the ability to convey complex data concepts.

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