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Data Architect, Senior; Data Platform

Job in McLean, Fairfax County, Virginia, USA
Listing for: Freddie Mac
Full Time position
Listed on 2026-05-29
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 116000 - 174000 USD Yearly USD 116000.00 174000.00 YEAR
Job Description & How to Apply Below
Position: Data Architect, Senior (Data Platform)

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.

Job Description

Freddie Mac is seeking a talented and motivated Senior Data Architect (Data Platform) to join our data team. In this role, you will be instrumental in designing, developing and implementing new paradigms for cloud native data ecosystem. You will leverage your deep understanding of data modeling, data architecture and data engineering to build innovative solutions that drive efficiency and enhance our business capability.

You will get to show off your business and technical skills and will influence outcomes, guide transformation, and put your stamp on how data is consumed at Freddie Mac. We need you to use your experience and success in coaching and transforming technical teams to shift to a data consumer mindset. The journey is wide open with possibilities!

Our Impact

The Single-Family division Data & Decisions department is investing in the future of data management and governance to improve data consumers’ experience. This could be you!

Your Impact

The IT developers and data engineers will leverage your skills to support ingestion, storage and consumption of data. A variety of responsibilities are involved in this position, including collaborating with stakeholders upstream and downstream from Nexus (Freddie Data Platform) to implement and craft sophisticated data services for consumers. It is important that you are comfortable documenting requirements and providing guidance across teams, working closely with data architects and engineers to ensure that their deliverables meet business requirements.

This position will also ensure that the data solutions are innovative, global, functional, yet simple so that it delivers value to multiple business areas.

Responsibilities
  • Lead data architecture and modeling – develop ER models that include events, states and workflows
  • Support design and implementation of the enterprise data platform (Nexus) that includes multiple data ingestion, storage and consumption patterns
  • Ensure designed solutions are optimal and robust – research and identify likely issues during incubation stages – and meet data governance requirements
  • Evaluate and recommend new technologies for enterprise data platform to meet different ingestion and consumption patterns
  • Collaborate with stakeholders to understand business requirements and communicate them to data architects, engineering and platform teams to develop optimum and robust solutions
  • Coordinate with management on issue identification, escalation and remediation
  • Assist with weekly and monthly metrics and reporting, and stakeholder meeting materials
Qualifications
  • 5 or more years’ experience in data modeling/architecture, data engineering, data management and/or data science related projects in Financial Services industry – along with complimentary experience in collaborating with team members and working in a diverse workplace
  • Bachelor's Degree or equivalent experience; advanced studies/degree preferred
  • Experience in gathering requirements, data modeling, designing and developing data-centric solutions
  • Strong understanding and experience in Cloud technologies such as AWS, Snowflake, Informatica (IDMC/IICS), Kafka, Dremio, Graph

    QL, and MongoDB
  • Ability to quickly learn new methods and technologies
  • Effectively collaborate with stakeholders to influence outcome
  • Ability to understand different perspectives
  • Experience in financial services or regulated industry is nice to have
Key to Success
  • Deep curiosity to learn about new cloud data management trends and how to do things better
  • Strong consultation and communication skills
  • Ability to work and collaborate across different teams
Top Personal Competencies
  • Drive for Execution – Be accountable for strong results and treat obstacles as challenges to overcome
  • Seek and Embrace Change – Continuously improve work processes and ready to challenge status quo
  • Growth and Development – Know or learn what is…
Position Requirements
10+ Years work experience
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