Senior Data Engineer with Master Data Management (MDM)

Senior Data Engineer with Master Data Management (MDM)
Work location: Iselin NJ (Hybrid 3 days in a week) (Locals needed)
Duration: 12 months
Interview type: inperson (final round)
Rate: Daily rate
Position type: W2 contract


Job Summary:

We are seeking a highly skilled and experienced Senior Data Engineer specializing in Master Data Management (MDM) to join our data team. The ideal candidate will have a strong background in designing implementing and managing end-to-end MDM solutions preferably within the financial sector. You will be responsible for architecting robust data platforms evaluating MDM tools and aligning data strategies to meet business needs.

In-person Interview is required

Key Responsibilities:

• Lead the design development and deployment of comprehensive MDM solutions across the organization with an emphasis on financial data domains.
• Demonstrate extensive experience with multiple MDM implementations including platform selection comparison and optimization.
• Architect and present end-to-end MDM architectures ensuring scalability data quality and governance standards are met.
• Evaluate various MDM platforms (e.g. Informatica Reltio Talend IBM MDM etc.) and provide objective recommendations aligned with business requirements.
• Collaborate with business stakeholders to understand reference data sources and develop strategies for managing reference and master data effectively.
• Implement data integration pipelines leveraging modern data engineering tools and practices.
• Develop automate and maintain data workflows using Python Airflow or Astronomer.
• Build and optimize data processing solutions using Kafka Databricks Snowflake Azure Data Factory (ADF) and related technologies.
• Design microservices especially utilizing GraphQL to enable flexible and scalable data services.
• Ensure compliance with data governance data privacy and security standards.
• Support CI/CD pipelines for continuous integration and deployment of data solutions.

Required Qualifications:

• 12 years of experience in data engineering with a proven track record of MDM implementations preferably in the financial services industry.
• Extensive hands-on experience designing and deploying MDM solutions and comparing MDM platform options.
• Strong functional knowledge of reference data sources and domain-specific data standards.
• Expertise in Python Pyspark Kafka microservices architecture (particularly GraphQL) Databricks Snowflake Azure Data Factory SQL and orchestration tools such as Airflow or Astronomer.
• Familiarity with CI/CD practices tools and automation pipelines.
• Ability to work collaboratively across teams to deliver complex data solutions.
• Experience with financial systems (capital markets credit risk and regulatory compliance applications).

Preferred Qualifications:

• Familiarity with financial data models and regulatory requirements.
• Experience with Azure cloud platforms
• Knowledge of data governance data quality frameworks and metadata management.