Hiring: Senior Data Engineer Company: Synechron Location: Iselin, NJ Job Posted Time: 2026-09-16 23:41:46 Target Skills & Keywords : AI, Airflow, Azure, Blockchain, CI/CD, Databricks, GraphQL, Informatica, Kafka, Microservices, PySpark, Python, Regulatory Compliance, SQL, Snowflake, Talend About the job Experience: •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. •12+ years of experience in data engineering, with a proven track record of MDM implementations, preferably in the financial services industry. Required Skills: •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. •Partner cross-functionally 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. Qualifications: •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. •Operational familiarity with CI/CD practices, tools, and automation pipelines. •Demonstrated capacity to work collaboratively across teams to deliver complex data solutions. •Operational familiarity with financial data models and regulatory requirements. •Knowledge of data governance, data quality frameworks, and metadata management. Compensation: •A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!