Enterprise Data Engineering Manager, FVP

Axos Bank Target Range:$ /Yr.

- $ /Yr.Actual starting pay will vary based on factors including, but not limited to, geographic location, experience, skills, specialty, and education.

Eligible for an Annual Discretionary Cash Bonus Target: 10%
Eligible for an Annual Discretionary Restricted Stock Units Bonus Target: 10%
These discretionary target bonuses may be awarded semi-annually based upon your achievement of performance goals and targets.

About This Job The First Vice President of Data Engineering will be responsible for managing various key data implementations across the organization and providing people and technology leadership. The First Vice President will perform data architecture analysis, design, development and testing to deliver data applications, services, interfaces, ETL processes, reporting and other workflow and management initiatives. This role requires a highly motivated individual with strong leadership capability, technical ability, data capability, excellent communication, and collaboration skills including the ability to develop and troubleshoot a diverse range of problems.

This role will be onsite and available at any of the posted locations to include:

San Diego, CAIrvine, CALos Angeles, CACentennial, COLas Vegas, NVKansas City, MOEdison, NJOmaha, NERemote or Hybrid is not available.

Responsibilities:

Head the development and delivery of enterprise scale mission critical data platforms, i.e. Databricks Lakehouse, GCP services, to meet critical business priorities

Establish the roadmap and vision for enterprise scale data engineering, executes on this roadmap to deliver shared frameworks for the broader enterprise application development teams

Build technical excellence by defining and implementing robust data engineering standards and quality frameworks that govern data pipeline development, testing, and deployment across the data platform

Establish, enforce, and champion modern Data Ops and CI/CD practices within the team. Lead the automation of deployment, testing, and monitoring to accelerate delivery speed and ensure data quality

Provides technical leadership and hands-on guidance to the Data Engineering team to ensure timely and high-quality project delivery and enhancements Mentor engineers in advanced PySpark, SQL, dbt, Fivetran and cloud-native development to maximize team output

Collaborates with multiple teams, understands the overall enterprise Data Architecture, and develops the end-to-end solutions for data sourcing, data processing/integration, data provisioning and delivery

Delivers projects to successful completion as defined by predetermined project success criteria including those established by the business, ensuring that projects are delivered on time and within budget

Focus on designing and developing highly scalable, efficient, and reliable data infrastructure to scale and compute to meet business objectives

Lead, coach, and develop team, while creating a vision for team and educating cross-functional teams on how to leverage data to identify opportunities to increase revenue and performance

Drives IT solutions to ensure they meet business needs balanced with a pragmatic and integrated approach to the design of technical solutions

Remains up to date on key technology, business, and industry trends

Performs other duties and responsibilities as assigned

Requirements:

Bachelor’s degree in computer science, MIS or related degree
10+ years’ experience managing Data Engineering and leading Technology Teams7+ years’ working with SQL Server and other DB management systems with Cloud and on-PREM data ecosystems7+ years’ working with cloud-native data ecosystems (GCP, Azure, AWS) with deep experience in Cloud Data Warehouses (e.g., Big Query, Snowflake,…