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Company Description
At Fannie Mae, futures are made. The inspiring work we do helps make a home a possibility for millions of homeowners and renters. Every day offers compelling opportunities to use tech to tackle housing's biggest challenges and impact the future of the industry. You'll be a part of an expert team thriving in an energizing, flexible environment. Here, you will grow your career and help create access to fair, affordable housing finance.Job DescriptionAs a valued colleague on our team, you will act as a team lead in the designing, producing, testing, or implementing software, technology, or processes, as well as lead processes for creating and maintaining IT architecture, large scale data stores, and cloud-based systems. THE IMPACT YOU WILL MAKEThe Corporate Functions Technology - Software Engineering - Lead Associate role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:Fannie Mae - Reston Virginia- Lead Associate - Software EngineeringData Steward establishing, maintaining, and communicating standards for recording, searching, and reporting data kept in the enterprise's databases and warehouses. Confer as needed with other technical staff to plan database conversion projects, or to establish large scale mining, reporting, or data display exercises. Guide or provide technical assistance to database administration projects or operations to maintain enterprise-wide standards and attain more efficient use of data resources. Research, assess, and report use of data standards and ways in which they can be modified as needs change and corporate platforms develop.- Evaluate report requests to determine requestor's needs and objectives, identify correct methodology for extracting data including data sources and criteria, and ensure the delivered report is accurate, timely, and formatted appropriately.
- Review processes within unit that affect formatting, entry, quality control and standardized uses of data to identify inefficiencies, needs for training, or ways in which corporate or departmental standards need to be better communicated.
- Acquire from unit staff and from clients concerns about data quality, form in which it is available, linkages to other datasets and the like, and develop internal standards and procedures to address these concerns.
- Confer with database administrators, data warehouse management and other department staff regarding data retention policies, current system architecture and how it interacts with data management issues and represent corporate standards and best practice.
- Survey market and professional affiliations for current best practice in data management and convey to colleagues and client.