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Accord Technologies Inc · 1 month ago

Senior Data Engineer with Master Data Management (MDM)

Iselin, NJ

Full-time

Hybrid

Senior Level, Lead/Staff

12+ years exp

Accord Technologies Inc is seeking a highly skilled and experienced Senior Data Engineer specializing in Master Data Management (MDM) to join their data team. The role involves designing, implementing, and managing end-to-end MDM solutions, particularly within the financial sector, while ensuring data quality and governance standards are met.

Information Technology & Services

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

Qualification

Master Data ManagementData EngineeringPythonKafkaMicroservices ArchitectureDatabricksSnowflakeAzure Data FactoryCI/CD PracticesData GovernanceData QualityMetadata ManagementCollaboration

Required

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)