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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Enterprise Data Platform Lead (Data Governance & MDM) - **Company:** Rush University Medical Center - **Location:** Chicago, IL, United States (Remote available) - **Experience:** Expert - **Salary:** $105,414.0 - $157,061.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Microsoft Azure, Software as a Service, Cloud Computing, Computer Programming, Data Cleansing, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Profiling, Data Stores, Data Warehousing, IBM DB2, Relational Databases, Dimensional Modeling, Information Lifecycle Management, Python (Programming Language), Microsoft Data Access Components, Microsoft SQL Server, MySQL, NoSQL, Oracle (Applications), Pentaho Data Integration, Microsoft Copilot, Software Engineering, SQL Databases, Systems Integration, Talend, Test Execution Engine, Unstructured Data, Enterprise Data Management, Data Processing, Freeform SQL, Data Storage Technologies, Azure Data Factory, Apache Camel, Informatica Powercenter, Apache Spark, Microsoft Fabric, Data Lakes, SAP MDG, Apache Kafka, Data Management, Data Pipelines, Databricks - **Published:** October 23, 2026 - **Apply:** https://www.chicagocareersite.com/job.asp?id=3466840942&tx=HT7872THT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Bachelor's degree. * One to three years of technical lead skills * Five years' experience with modern MDM tools Preferred Job Qualifications: * Informatica IDMC certifications. * Microsoft Data Fabric with Azure OneLake and Data Factory experience and/or certifications. * 3+ years of hands-on data modeling, data integration, and data quality management experience. * Ability to mentor and lead engineers in a hands-on capacity. * 3+ years hands-on with DAMA-DMBOK Data Lifecycle Management (DLM). * Experience with modern and legacy cloud and on-premises data storage technologies. * Perform data quality assessments and implement data cleansing processes. * Experience with developing and executing test plans for MDM solutions. * Experience in Informatica IDMC with iPaaS, Customer 360 SaaS MDM, CLAIRE using Copilot, and CDGC or similar tools. * Experience designing and implementing data management solutions in Informatica on Azure Data Fabric platforms. * Familiarity with Informatica's implementation of the EDM Council's CDMC framework. * Strong background in cloud computing, software engineering and data processing. * Data management experience. * Experience in ETL Tools such as Pentaho, Talend, Informatica, Azure Data Factory, Apache Kafka and Apache Camel. * Experience designing and implementing analysis solutions on Azure OneLake and Microsoft Fabric * Data Platform or Spark based platforms such as Databricks. * Proficient in RDBMS such as Oracle, SQL Server, DB2, MySQL etc. * Strong analytical and problem-solving skills. * Strong verbal and written communication skills. * Proficient programming skills in Python, SQL, NoSQL, and Spark. * Ability to manage multiple projects is essential. * Ability to work independently or in groups. * Ability to prioritize time. * Ability to adapt to a rapidly changing environment. ## Description Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rush's anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case., * Manage a team of data specialists responsible for data governance and data lifecycle management functions. * With Data Management teams and business counterparts, design and develop master data management solutions using MDM. * With Data Management teams and business counterparts, implement and configure MDM workflows and processes. * Work with business stakeholders to understand data requirements and ensure solutions meet those needs. * Collaborate with data governance teams to establish and enforce data management policies. * Perform data quality assessments and implement data cleansing processes. * Ensure data consistency, accuracy, and integrity across all systems and applications. * With Data Management teams and business counterparts, document all Data Platform, Lifecycle Management and 3rd party data management solution implementations, integrations, workflows, processes, configurations, and changes. * With Data Management teams and business counterparts, provide training and support to business users on MDM tools and best practices. * With Data Management teams and business counterparts, provide ETL-based dimensional modelling, data profiling, standardization, de-duplication, and cleansing. * Deploy best practices to enhance system performance. * Translate business requirements into technology solutions and collaborate with business and other technical teams. * With Data Management teams and business counterparts, responsible for design, development and maintenance of data pipelines to enable data analysis and reporting. * With Data Management teams and business counterparts, builds, evolves, and scales infrastructure to ingest, process and extract meaning out data. * Write complex SQL queries or python code to support analytics needs. * Lead projects / processes, working independently with limited supervision * Work with structured and unstructured data from a variety of data stores, such as data lakes, relational database management systems, and/or data warehouses. * With Data Management teams and business counterparts, builds data infrastructure and determines proper data formats to ensure data is ready for use.