AJNA INFOTECH

Master Data Management Technical Lead

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Master Data Management Technical Lead in New York, NY (Hybrid) on a contract basis. Pay rate is unspecified. Requires a Bachelor's degree, 10+ years in MDM, proficiency in Azure Data Factory, Snowflake, and data governance principles.
🌎 - Country
United States
πŸ’± - Currency
Unknown
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
October 23, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
New York, NY
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🧠 - Skills detailed
#Data Governance #Fivetran #Cloud #Computer Science #Data Engineering #Data Quality #ADF (Azure Data Factory) #Data Modeling #Data Stewardship #Azure Data Factory #Compliance #Snowflake #Azure #dbt (data build tool) #Data Management #MDM (Master Data Management) #Data Pipeline #Scala
Role description
Job Description Job Title: Master Data Management Technical Lead Location: New York, NY - Hybrid Type: Contract Responsibilities Analyze master data to identify trends and patterns that enhance business processes and decision-making, providing expert guidance on MDM best practices Develop and maintain applications using Semarchy MDM tools, ensuring operational efficiency and compliance with MDM protocols Design, deploy, and optimize data pipelines in Azure using tools such as ADF, DBT, FiveTran, and Snowflake to achieve high performance and scalability Lead and manage teams, providing strategic planning and oversight to align with organizational goals and ensure timely delivery of solutions Communicate effectively with stakeholders, negotiating and influencing critical decisions while clearly articulating the benefits and constraints of technology solutions Qualifications Bachelor’s degree in Computer Science, Information Technology, or a related field; relevant certifications in MDM or data management are preferred Minimum of 10 years of experience in Master Data Management, with hands-on operational experience in data stewardship and product ownership Proficient in data engineering skillsets, including experience with cloud data pipelines and tools such as Azure Data Factory, DBT, FiveTran, and Snowflake Strong understanding of data modeling, data warehousing, data quality management, and data governance principles Additional Information All your information will be kept confidential according to EEO guidelines.