Data Tech Lead (Hybrid - 3 Days in Office)

At Freddie Mac, you will do important work to build a better housing finance system and you’ll be part of a team helping to make homeownership and rental housing more accessible and affordable across the nation.

Position Overview:

Are you a transformation champion? Are you passionate about technology transformations? Are you looking for a career that allows you to work with the latest and greatest technologies? Do you have demonstrable record of enabling enterprise change through architectural leadership?

The Freddie Mac Enterprise BTO Tech is seeking a Data Tech Lead who will be responsible for the development, modifications, execution and measurement of company data policies, standards and guidelines which affect immediate operations.

Our Impact:

• Provide solutions for finance data needs that align with Enterprise data strategy for consistency and quality.

• Create and Implement Data Governance working with the Business data team.

• Build various data solutions within the overall data platform strategy by defining and establishing the data architecture.

• Collaborate with other IT teams to advance our technical capabilities.

• Automate and optimize processes and technologies.

Your Impact:

• Scrum/agile based development and hands-on architecture in data science domain.

• Create information strategies around data quality, implementation of a future state data architecture, metadata and information governance.

• Lead large, strategic, cross-disciplinary business change efforts.

• Resolve problems or transactions, where expertise is required to interpret against policies, guidelines or processes.

• Analyze, guide, lead, develop, and maintain efficient data pipelines and ETL process for large-scale data integration.

• Collaborate with data analysts and other engineer to define data needs and build solution that drive business insights.

• Technical consultation to clients and IT management on technologies, architecture solution options with tradeoffs, alignment with standards and roadmaps.

• Architect, develop, test, and deploy code for data extraction, transformation and loading processes (ETL/ELT).

• Define and compare solutions to figure out optimal solutions for business needs.

• Provides guidance to business counterparts, customers, and management on requirements pertinent to the data and technical capability.

Qualifications:

• Bachelor’s degree in computer science or engineering, or equivalent experience; advanced studies/degree preferred.

• Strong proficiency (8+ yrs) in Python programing language (Nice to have: Scala, Java).

• Strong proficiency in spark SQL, SQL, gremlin, GraphQL and database management (Snowflake cloud-base warehousing).

• Strong experience with data processing frameworks, DataFrames, Apache Spark, Graph DBs

• Familiar with Data product platforms and data product modelling and design.

• Experience with cloud platform AWS (EMR, EKS, Lambda).

• Experience writing statistical and/or optimization programs to develop models and algorithms. Programming languages may include—but are not limited to—Python, R

• Strong analytical and problem-solving skills with a high level of attention to detail.

• 10-15 years of broad technology experience and knowledge across multiple disciplines such as application development, database SQL/NoSQL, infrastructure platform, security products, ETL products, rule engines, and Business Intelligence (BI) tools

• 10 years of hands-on experience in Data architecture with solutions applied to multiple large-scale enterprise systems.

• Extensive knowledge and experience in the Data technologies for Data Analytics, Data Warehouse, Data Mart, BI, Big Data (Hadoop, HBase, Hive), Databases SQL/NoSQL, ETL (Informatica, Talend, Sqoop), CDC (Attunity), REST API, Integration/EAI technologies like Informatica, BI tools (MicroStrategy/Tableau), Snowflake.

• 10 years’ experience with Technologies including Web Service API, Integration/EAI technologies like Informatica, XML, JSON, JDBC, SQL, Java, Python, R.

• Knowledge of enterprise data models, information classification, meta-data models, taxonomies and ontologies.

Keys to Success in this Role:

• Data and Architectural leadership with knowledge of both legacy and modern cloud-based data technologies and applications.

• Proven judgment with excellent decision-making skills and excellent analytical skills, ability to handle ambiguity and lead technical solutions.

• Deep curiosity to learn about the latest trends.

• Ability to use data to help inform strategy and direction.

• Problem solver, innovative and ability to think outside of the box.

• Ability to translate complex statistical models and methodologies into simple business terms.

• Ability to lead, collaborate and influence issue resolution across various groups in the organization.

• Ability to effectively communicate technology problems/solutions to business partners and senior leadership and translate high level directives into technical approaches consumed by technical groups.

• Highly motivated and upbeat self-starter with shown organizational and time management skills; proven experience operating at high standards of quality and accuracy within a fast-paced changing environment.

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

Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you’ll do important work for the housing finance system and make a difference in the lives of others.

We are an equal opportunity employer and value diversity and inclusion at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by applicable law. We will ensure that individuals with differing abilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

CA Applicants:  Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.

Time-type:Full time

FLSA Status:Exempt

Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.

This position has an annualized market-based salary range of $122,000 - $182,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.