Senior MDM Data Engineer- W2 ONLY

Role: Senior MDM Data Engineer- W2 ONLY Location: Iselin, NJ (Hybrid, 3 days in a week) Duration: Long Term In-person Interview is required 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. 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.