Data Architect, Senior (Data Platform)

Freddie Mac•McLean, VA

1d•$116,000 - $174,000

About The Position

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

Requirements

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, GraphQL, and MongoDB
Ability to quickly learn new methods and technologies
Effectively collaborate with stakeholders to influence outcome
Ability to understand different perspectives

Nice To Haves

Experience in financial services or regulated industry is nice to have
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
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 needed to deliver results and successfully compete

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