

STAFFWORXS
Senior Master Data Management Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Master Data Management Engineer with a long-term contract in Edison, NJ (Hybrid). Requires 12+ years in data engineering, MDM expertise in financial services, proficiency in Python, Kafka, Databricks, and CI/CD practices.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
January 28, 2026
π - Duration
Unknown
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Edison, NJ
-
π§ - Skills detailed
#Data Quality #Azure Data Factory #Azure cloud #ADF (Azure Data Factory) #Kafka (Apache Kafka) #Python #Talend #Deployment #Snowflake #Security #PySpark #Spark (Apache Spark) #Data Processing #MDM (Master Data Management) #Cloud #Automation #Microservices #Databricks #"ETL (Extract #Transform #Load)" #GraphQL #Data Engineering #Data Integration #Data Governance #SQL (Structured Query Language) #Informatica #Compliance #Scala #Azure #Airflow #Data Management #Metadata #Data Privacy
Role description
At Staffworxs, we donβt just connect talent β we power transformation. Headquartered in Frisco, TX, with teams in Bengaluru and Hyderabad, we combine global reach with deep expertise. Our Digital & Data Analytics practice drives growth and innovation for some of the worldβs top CPG brands, who continue to retain us as their trusted partner. If youβre ready to make an impact, youβre in the right place.
Job Title: Senior Master Data Management Engineer
Location: Edison, NJ (Hybrid) β 3 days onsite a week
Duration: Long term Contract
Job Description:
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.
Responsibilities:
β’ Lead the design, development, and deployment of comprehensive MDM solutions across the organization, with an emphasis on financial data domains.
β’ Demonstrate extensive experience with multiple MDM implementations, including platform selection, comparison, and optimization.
β’ Architect and present end-to-end MDM architectures, ensuring scalability, data quality, and governance standards are met.
β’ Evaluate various MDM platforms (e.g., Informatica, Reltio, Talend, IBM MDM, etc.) and provide objective recommendations aligned with business requirements.
β’ Collaborate with business stakeholders to understand reference data sources and develop strategies for managing reference and master data effectively.
β’ Implement data integration pipelines leveraging modern data engineering tools and practices.
β’ Develop, automate, and maintain data workflows using Python, Airflow, or Astronomer.
β’ Build and optimize data processing solutions using Kafka, Databricks, Snowflake, Azure Data Factory (ADF), and related technologies.
β’ Design microservices, especially utilizing GraphQL, to enable flexible and scalable data services.
β’ Ensure compliance with data governance, data privacy, and security standards.
β’ Support CI/CD pipelines for continuous integration and deployment of data solutions.
Requirements:
β’ 12+ years of experience in data engineering, with a proven track record of MDM implementations, preferably in the financial services industry.
β’ Extensive hands-on experience designing and deploying MDM solutions and comparing MDM platform options.
β’ Strong functional knowledge of reference data sources and domain-specific data standards.
β’ Expertise in Python, Pyspark, Kafka, microservices architecture (particularly GraphQL), Databricks, Snowflake, Azure Data Factory, SQL, and orchestration tools such as Airflow or Astronomer.
β’ Familiarity with CI/CD practices, tools, and automation pipelines.
β’ Ability to work collaboratively across teams to deliver complex data solutions.
β’ Experience with financial systems (capital markets, credit risk, and regulatory compliance applications).
Preferred, but not required:
β’ Familiarity with financial data models and regulatory requirements.
β’ Experience with Azure cloud platforms
β’ Knowledge of data governance, data quality frameworks, and metadata management.
Staffworxs is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive workplace for all employees, regardless of race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status.
At Staffworxs, we donβt just connect talent β we power transformation. Headquartered in Frisco, TX, with teams in Bengaluru and Hyderabad, we combine global reach with deep expertise. Our Digital & Data Analytics practice drives growth and innovation for some of the worldβs top CPG brands, who continue to retain us as their trusted partner. If youβre ready to make an impact, youβre in the right place.
Job Title: Senior Master Data Management Engineer
Location: Edison, NJ (Hybrid) β 3 days onsite a week
Duration: Long term Contract
Job Description:
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.
Responsibilities:
β’ Lead the design, development, and deployment of comprehensive MDM solutions across the organization, with an emphasis on financial data domains.
β’ Demonstrate extensive experience with multiple MDM implementations, including platform selection, comparison, and optimization.
β’ Architect and present end-to-end MDM architectures, ensuring scalability, data quality, and governance standards are met.
β’ Evaluate various MDM platforms (e.g., Informatica, Reltio, Talend, IBM MDM, etc.) and provide objective recommendations aligned with business requirements.
β’ Collaborate with business stakeholders to understand reference data sources and develop strategies for managing reference and master data effectively.
β’ Implement data integration pipelines leveraging modern data engineering tools and practices.
β’ Develop, automate, and maintain data workflows using Python, Airflow, or Astronomer.
β’ Build and optimize data processing solutions using Kafka, Databricks, Snowflake, Azure Data Factory (ADF), and related technologies.
β’ Design microservices, especially utilizing GraphQL, to enable flexible and scalable data services.
β’ Ensure compliance with data governance, data privacy, and security standards.
β’ Support CI/CD pipelines for continuous integration and deployment of data solutions.
Requirements:
β’ 12+ years of experience in data engineering, with a proven track record of MDM implementations, preferably in the financial services industry.
β’ Extensive hands-on experience designing and deploying MDM solutions and comparing MDM platform options.
β’ Strong functional knowledge of reference data sources and domain-specific data standards.
β’ Expertise in Python, Pyspark, Kafka, microservices architecture (particularly GraphQL), Databricks, Snowflake, Azure Data Factory, SQL, and orchestration tools such as Airflow or Astronomer.
β’ Familiarity with CI/CD practices, tools, and automation pipelines.
β’ Ability to work collaboratively across teams to deliver complex data solutions.
β’ Experience with financial systems (capital markets, credit risk, and regulatory compliance applications).
Preferred, but not required:
β’ Familiarity with financial data models and regulatory requirements.
β’ Experience with Azure cloud platforms
β’ Knowledge of data governance, data quality frameworks, and metadata management.
Staffworxs is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive workplace for all employees, regardless of race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status.





