Enterprise Data Engineering Manager, FVP
$145k - $180kaxosbank.com
Compensation and Benefits Axos Bank Target Range: $145,000.00 /Yr. – $180,000.00 /Yr. Actual starting pay will vary based on factors including location, experience, skills, specialty, and education. Annual Discretionary Cash Bonus Target: 10% and Annual Discretionary Restricted Stock Units Bonus Target: 10%. Bonuses may be awarded semi‑annually based on achievement of performance goals and targets. Locations Onsite at any of the following locations: San Diego, CA; Irvine, CA; Los Angeles, CA; Centennial, CO; Las Vegas, NV; Kansas City, MO; Edison, NJ; Omaha, NE. Remote or Hybrid is not available. Responsibilities Head the development and delivery of enterprise‑scale mission‑critical data platforms, e.g., Databricks Lakehouse, GCP services to meet critical business priorities. Establish the roadmap and vision for enterprise‑scale data engineering, executing on this roadmap to deliver shared frameworks for broader enterprise application development teams. Define and implement robust data engineering standards and quality frameworks governing data pipeline development, testing, and deployment across the data platform. Champion modern DataOps and CI/CD practices, automating deployment, testing, and monitoring to accelerate delivery speed and ensure data quality. Provide technical leadership and hands‑on guidance to the Data Engineering team, ensuring timely and high‑quality project delivery and enhancements. Mentor engineers in advanced PySpark, SQL, dbt, Fivetran, and cloud‑native development to maximize team output. Collaborate with multiple teams, develop end‑to‑end solutions for data sourcing, processing/integration, provisioning, and delivery. Deliver projects to successful completion against predefined success criteria, ensuring on‑time, on‑budget delivery. Design and develop highly scalable, efficient, and reliable data infrastructure to meet business objectives. Coach, develop, and create a vision for the team, educating cross‑functional teams on leveraging data for revenue and performance opportunities. Drive IT solutions that balance business needs with pragmatic, integrated technical design. Remain current on key technology, business, and industry trends. Perform other duties as assigned. Qualifications Bachelor’s degree in Computer Science, MIS or related field. 10+ years of experience managing Data Engineering and leading technology teams. 7+ years working with SQL Server and other DBMS in cloud and on‑prem ecosystems. 7+ years working with cloud‑native data ecosystems (GCP, Azure, AWS) and cloud data warehouses such as BigQuery, Snowflake, Databricks. Experience designing and optimizing pipelines using PySpark, Spark, and modern ELT/ETL tools (e.g., Fivetran, dbt). Advanced proficiency in Python, PySpark, SQL, and data integration tools. Strong experience with data streaming technologies, Big Data platforms, and database types including SQL and NoSQL. Leadership experience mentoring technical staff and setting technical direction. Deep understanding of data architecture and data in the context of business goals. Proficient in building a modern next‑generation Lakehouse platform. Enterprise implementation, strategic planning, and strong business acumen. Preferred: Financial Services experience. Benefits Medical, dental, vision, and life insurance. Paid sick leave, 3 weeks vacation, and holidays (≈11 per year). HSA or FSA account and other voluntary benefits. 401(k) retirement plan with employer match and 529 savings plan. Employee mortgage loan program and free access to an Axos Bank account with self‑directed trading. EEO Statement Axos is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex, gender identity, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state, and local laws. Job Functions and Work Environment While performing the duties of this position, the employee is required to sit for extended periods of time. Manual dexterity and coordination are required while operating standard office equipment such as computer keyboard and mouse, calculator, telephone, copiers, etc. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. #J-18808-Ljbffr
$145k - $180k
...First Vice President Of Data Engineering Axos Bank Target Range: $145,000.00/Yr. - $18... ...Data Engineering will be responsible for managing various key data implementations... ...Head the development and delivery of enterprise scale mission critical data platforms,...SuggestedWork at officeLocal area$125k - $150k
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...Role The San Diego Community Power (SDCP) is seeking a seasoned Data Engineer to join our growing team of analytics experts. The role is... ...and optimizing our data infrastructure for data collection, management, transformation, and access. A key priority will be to assist...Full timeLocal area- ...ICW Group in San Diego is seeking a Data Engineer III to design, develop, and implement data solutions that enable data-driven decision-making. This role involves working closely with IT Managers and Data Science teams to build scalable data pipelines. The ideal candidate...
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