Data Analytics, 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.

Position overview:

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. Continue your career journey where your work contributes to a greater purpose.

Freddie Mac is seeking a talented and motivated Senior data architect 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 information technology (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 their deliverables meet business requirements. This position will also ensure that the data solutions are innovative, global, functional, yet simple so that it deliver value to multiple business areas.

Responsibilities:

• Support design and implementation of the enterprise data platform (Nexus) that includes multiple data ingestion, storage and consumption patterns

• Support enterprise initiatives for Nexus solution to meet their ingestion and consumption requirements

• 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

• Bachelor's Degree or equivalent experience; advanced studies/degree preferred. Typically has 5 - 7 years related experience

• 5 or more years’ experience in data 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

• Strong understanding with experience in Cloud technologies such as Informatica (IDMC/IICS), Kafka, Dremio, GraphQL, AWS, Snowflake and MongoDB

• Experience in gathering requirements, data modeling, designing and developing data-centric solutions

• Ability to quickly learn new technologies and effectively collaborate with stakeholders to influence outcomes

• Ability to understand different perspectives

Key to success in this role

• 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

Current Freddie Mac employees please apply through the internal career site.

We consider all applicants for all positions without regard to gender, race, color, religion,