W2 ONLY. NO C2C / CORP-CORP / 1099 / 3RD PARTY FIRMS.

MUST BE VISA / OPT / CPT INDEPENDENT. (not on/holding)

12 month renewable term contract. Likely to extend multi-year/option to hire. Client: A major global corporation and a leader in their industry operating over 350 manufacturing facilites with annual revenue over $24B and employing over 18,000.

Overview:

This position will be responsible for implementing and integrating data management applications, including Master Data Management (MDM), Data Catalog and Data Quality. Primary focus will be on automating and administering these technologies to ensure the smooth operation of data governance solutions for stakeholders. The successful candidate will excel in application configuration, data integration, pipeline development, resource monitoring, and translating and executing use cases to enable effective data stewardship. This role requires strong collaboration with various teams to ensure data governance processes align with business needs and objectives.

Role:

• Design, construct, deploy, test, and support solutions and applications using the MDM platform and related technologies including Python, Azure Data Factory, Databricks, and APIs.
• Serve as the technical subject matter expert (SME) for the MDM platform, overseeing its integrations and data flows to ensure optimal performance and reliability.
• Develop and maintain data pipelines in a cloud environment, preferably Azure, utilizing cloud-based data environments like Azure Data Lake for storage and management.
• Design, construct, deploy, test, and support data storage in big data constructs, relational databases, and other database technologies to meet data governance needs.
• Assess and evaluate system designs to ensure adherence to architecture and design best practices, optimizing for efficiency and scalability.
• Translate and execute use cases into effective data stewardship models, ensuring compliance with all applicable company standards and regulatory requirements.
• Monitor resources and troubleshoot technical and data-related issues, providing timely resolution to ensure uninterrupted data management operations.
• Communicate issues, risks, concerns, and status to management promptly, ensuring transparency and effective risk management.
• Collaborate with various teams to align data governance processes with business needs and objectives, contributing to team goals through iterative and agile development practices.
• Develop and interact with APIs, performing data mapping of incoming data sources and configuring MDM and data catalog tools accordingly.
• Connect and integrate data sources with MDM and data catalog tools, ensuring accurate and reliable data integration and management.

Qualifications:

• 8 - 10 years work experience in the United States.
• Experience with cloud-based data environments such as Azure Data Lake.
• Experience in building, deploying, and maintaining data pipelines in a cloud environment, preferably Azure.
• Experience with Databricks for enhancing capabilities in data processing, analysis and automation tasks.
• Experienced in Python.
• Extensive experience in data modeling, data architecture, data analysis and data management.
• Moderate to expert level SQL skills.
• Proficiency in developing and interacting with APIs.
• Demonstrated ability to troubleshoot and resolve technical and data-related issues.
• Experience with master data management and solution configuration, preferably Profisee is a plus.
• Experience with related technologies such as Alation, Collibra, and Purview is a plus.
• Familiarity with data quality concepts and tools to ensure accurate and reliable data integration and management.