MDM Engineering Manager

MDM Engineering Manager

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.