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 platformsKnowledge of data governance, data quality frameworks, and metadata management.