VP, Engineering
Overview
Position: VP of Data Engineering Salary: $185K - $210K/yr d.o.e. plus benefits Location: Remote, or hybrid if located within 31 miles of the Santa Ana, CA or Austin, TX offices. Position Summary: We are seeking a visionary and strategic VP of Data Engineering to lead our data organization. This is a leadership role with the expectation of being hands-on when necessary. You will be at the helm of our data strategy, making critical decisions on our data stack, including the strategic implementation of key data tooling. You will be responsible for building and mentoring the data engineering team, and for developing the data models and infrastructure that will power our data-driven future. This role is a crucial enabler for NAF's Data and AI initiatives, and you will have a significant impact on our business's success.
Responsibilities
Experience creating and executing roadmaps for data engineering, data analytics and data governance. Drive the strategic vision for our data platform, making key architectural and technology decisions. Strong technical backgrounds (ideally building highly scalable data platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle Champion the design and implementation of robust, scalable, and maintainable data models and mentor your team in best practices. Experience building and leading a high-functioning team with a mission to power real-time, intelligent experiences for our customers and associates Lead technology focused discussions with senior leadership by providing valuable insights and recommendations that guide technology-based decisions Exceptional communication and collaboration skills Excellent problem solving and influencing skills A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives. Deep focus on execution, follow-through, accountability, and results Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done. Qualifications 7+ years of experience Managing Data Engineers Designing and building data-intensive solutions using distributed computing. Proven experience developing and executing a strategic data roadmap. 5+ years of experience In Snowflake, Databricks, Fivetran, Airflow or similar ETL, orchestration, and warehousing tools. Building distributed systems & highly available services using cloud computing services and architecture (AWS and Azure) Experience with data analytics or machine learning. Hands-on experience in Rest/Restful API development.sn Familiarity with Semi structured Databases such as Cosmos. Advanced experience with SQL. Bachelor's degree PREFERRED QUALIFICATIONS Advanced knowledge of data modelling and schema design. Snowflake/Cloud certifications. Familiarity w/mortgage origination and servicing. Other Duties: This job profile is not intended to be an all-inclusive list of job duties and responsibilities, as one may perform additional related duties as assigned to meet the needs of the organization. Work Authorization: Must be able to verify identity and employment eligibility to work in the U.S. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Must be able to lift up to ten pounds. Primary functions require sufficient physical ability and mobility to work in an office setting; to stand or sit for prolonged periods of time; to occasionally stoop, bend, kneel, crouch, reach, and twist; to lift, carry, push, and/or pull light to moderate amounts of weight; to operate office equipment requiring repetitive hand movement and fine coordination including use of a keyboard; and to verbally communicate to exchange information. Vision: See in the typical visual range with or without correction. Hearing: Hear in the typical audio range with or without correction. #LI-JD2 #LI-REMOTE Apply To This Job