Data Analytics, Technical lead
Freddie MacAbout the role
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:
We need a highly innovative Technical Lead! How confident are you that you can guide teams to design and build robust enterprise data platform? If you believe you could contribute to the development of innovative principles and ideas in a matrixed environment, please keep reading as we are seeking an individual contributor who has deep experience in cloud native technologies and can contribute to the inspiring environment in our McLean office.
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!
To thrive in this role, you must have a comprehensive understanding of data management system design and implementation and be enthusiastic about leading development of new paradigms for the cloud native data ecosystem.
Your Impact:
The information technology (IT) developers and data engineers will use your skills and procedures 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 their consumption and leading data engineers and data architects to solve technical problems. 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 they deliver value to multiple business areas.
Responsibilities:
Design and implement the enterprise data platform (Nexus) that includes multiple data ingestion, storage and consumption patterns
Support enterprise initiatives for Nexus solutions 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 8-10 years related experience.
8-10 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
Experience in gathering requirements, data modeling, designing and developing data-centric solutions
Strong understanding with experience in Cloud technologies such as Informatica (IDMC/IICS), Kafka, Dremio, GraphQL, AWS, Snowflake and MongoDB
Ability to quickly learn new technologies and effectively collaborate with stakeholders to influence outcomes
Ability to understand different perspectives
Keys to Success in this Role:
Intellectual agility and interpersonal flexibility
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, national origin, age, marital status, veteran status, sexual orientation, gender identity/exp
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