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.