Senior Data Engineer

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & Dev Ops, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our Fin Labs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.

Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,400+, and has 60 offices in 20 countries within key global markets.

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. Candidate will be responsible for architecting robust data platforms, evaluating MDM tools, and aligning data strategies to meet business needs.

Additional Information*

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Iselin, NJ is $140k - $155k/year & benefits (see below).

• 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 Graph
  
  QL, 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.

• 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 Graph
  
  QL), 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).

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

• A highly competitive compensation and benefits package.
• A multinational organization with 60 offices in 20 countries and the possibility to work abroad.
• 10 days of paid annual leave (plus sick leave and national holidays).
• Maternity & paternity…