Freddie Mac

Financial Services

DataArchitect,Senior(DataPlatform)

$116–174k McLean, Virginia, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Data Architect, Senior (Data Platform) at Freddie Mac. Skills: data architecture, data modeling, cloud technologies, enterprise data platform design, stakeholder collaboration. Lead data architecture and modeling. develop ER models that include events, states and workflows”

What You'll Achieve.

drive efficiency and enhance our business capability; influence outcomes; guide transformation; put your stamp on how data is consumed at Freddie Mac; improve data consumers’ experience; deliver value to multiple business areas; Be accountable for results

Industry & Context.

Financial Services
Problems you'll solve

treat obstacles as challenges to overcome

Eligibility Requirements

A safe and secure environment is critical to Freddie Mac’s business., Employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk., Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.

What They're Looking For.

Must Have

5 or more years’ experience in data modeling/architecture, data engineering, data management and/or data science related projects in Financial Services industry, Experience in gathering requirements, data modeling, designing and developing data-centric solutions, 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 Have

experience in collaborating with team members and working in a diverse workplace, 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, consultation and communication skills, Ability to work and collaborate across different teams

What You'll Do.

Lead data architecture and modeling

develop ER models that include events

Support design and implementation of the enterprise data platform (Nexus)

Ensure designed solutions are optimal and robust

Evaluate and recommend new technologies for enterprise data platform

Collaborate with Stakeholders to understand business requirements

communicate business requirements to data architects

engineering and platform teams

Coordinate with management on issue identification

escalation and remediation

Assist with weekly and monthly metrics and reporting

assist with stakeholder meeting materials

developing and implementing new paradigms for cloud native data ecosystem

build innovative solutions that drive efficiency and enhance our business capability

coaching and transforming technical teams to shift to a data consumer mindset

storage and consumption of data

implement and craft sophisticated data services for consumers

documenting requirements

providing guidance across teams

working closely with data architects and engineers to ensure their deliverables meet business requirements

ensure that the data solutions are innovative

How You'll Work.

Team & Collaboration

collaborating with Stakeholders upstream and downstream from Nexus; providing guidance across teams; working closely with data architects and engineers; Collaborate with Stakeholders to understand business requirements and communicate them to data architects, engineering and platform teams; collaborating with team members; working in a diverse workplace; Ability to work and collaborate across different teams

Communication Scope

consultation and communication skills

Process & Methodology

Drive for Execution – Be accountable for results and treat obstacles as challenges to overcome

Full Job Description

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**_ 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 (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 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

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