At Freddie Mac, you will do important work to build a better housing finance system and you'll be part of a team helping to make homeownership and rental housing more accessible and affordable across the nation.
Position Overview:
The Senior Technical Lead, Corporate Technology Strategy (CTS), Data Modeler, Enterprise Business Model reports to the Vice President, Corporate Technology Strategist and is responsible for leading the data modeling efforts related to the Enterprise Business Model (EBM). This role collaborates with the CTS Data Architecture Leads, Enterprise Business Model Leads, and Business-aligned Technology Office (BTO) team members across Freddie Mac business to drive the creation of the Enterprise Business Model.
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Our Impact:
- Acts as subject matter expert for CTS Data Architecture team in the plan, design, and delivery of IT data solutions
- Drive the standardization of technical documentation supporting the Enterprise Business Model including notation, templates, and design of data structures
Your Impact:
- Create appropriate technical documentation as part of work assignments, such as program code, flowcharts, and technical requirements
- Perform design implementation and support of Enterprise Data Management (EDM) and data structures within all layers of the Enterprise Data Warehouse (EDW) environment
Qualifications:
- Bachelor's degree in computer science, information technology or related field
- 10+ years' experience in a logical/physical data modeling, data architecture, data analysis, and data management role
- Experience with data modeling tools like ERwin, ER/Studio or PowerDesigner
- Experience with different query languages such as PL/SQL, T-SQL, and ANSI SQL
- Broad understanding of structured, semi-structured, and unstructured data and message formats (such as XML, JSON, etc.)
- Experience with database technologies such as Oracle, DB2, Sybase, PostgreSQL, Snowflake, SQL Server, or MySQL
- Knowledge of data warehousing and business intelligence concepts including data mesh, data fabric, data lake, data warehouse, and data marts
Keys to Success in this Role:
- Excellent problem-solving skills and attention to detail
- Effective communication and interpersonal skills
- Ability to work independently and in a team environment
Current Freddie Mac employees please apply through the internal career site.
Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you'll do important work for the housing finance system and make a difference in the lives of others.
We are an equal opportunity employer and value diversity and inclusion at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by applicable law. We will ensure that individuals with differing abilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.
Time-type:Full time
FLSA Status:Exempt
Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.
This position has an annualized market-based salary range of $183,000 - $275,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.