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Enterprise Data Engineering Manager, FVP

HQ - San Diego, CA

Pay
$145,000–180,000/yearLocation-specific pay — pay source
Target Range: $145,000.00 /Yr. - $180,000.00 /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%
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Work setup
Working pattern needs review — work setup source
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:
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Employment
Unconfirmed
Apply at Axos Financial Inc

What you’ll work on

Full posting
  • Lead the automation of deployment, testing, and monitoring to accelerate delivery speed and ensure data quality

From the employer’s posting
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 DataOps 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

What you’ll bring

All qualifications

Core experience

  • Bachelor’s degree in computer science, MIS or related degree
  • 401(k) Retirement Saving Plan with Employer Match Program and 529 Savings Plan
  • 10+ years’ experience managing Data Engineering and leading Technology Teams
  • 7+ years’ working with SQL Server and other DB management systems with Cloud and on-PREM data ecosystems
  • 7+ years’ working with cloud-native data ecosystems (GCP, Azure, AWS) with deep experience in Cloud Data Warehouses (e.g., BigQuery, Snowflake, Databricks), exposure to various database types (SQL and NoSQL) and on-prem databases including SQL Server
  • Expertise in Databricks and the Spark ecosystem, including designing and optimizing pipelines using PySpark, implementing the moder data architecture and strong hands-on experience
Qualification wording
Bachelor’s degree in computer science, MIS or related degree
401(k) Retirement Saving Plan with Employer Match Program and 529 Savings Plan
10+ years’ experience managing Data Engineering and leading Technology Teams
7+ years’ working with SQL Server and other DB management systems with Cloud and on-PREM data ecosystems
7+ years’ working with cloud-native data ecosystems (GCP, Azure, AWS) with deep experience in Cloud Data Warehouses (e.g., BigQuery, Snowflake, Databricks), exposure to various database types (SQL and NoSQL) and on-prem databases including SQL Server
Expertise in Databricks and the Spark ecosystem, including designing and optimizing pipelines using PySpark, implementing the moder data architecture and strong hands-on experience

Tools in this posting

  • Python
  • SQL
  • AWS
  • Azure
  • BigQuery
  • Databricks
  • dbt
  • Fivetran
  • Google Cloud (GCP)
  • NoSQL
  • Snowflake
  • Spark
  • PySpark
  • SQL Server
Source — Tool mentions in context
- Expertise in Databricks and the Spark ecosystem, including designing and optimizing pipelines using PySpark, implementing the moder data architecture and strong hands-on experience - Advanced level experience with Python and PySpark (for data processing), advanced SQL, and modern ELT/ETL tools (e.g., Fivetran and dbt).Strong experience with a breadth of Data Integration tools, Databases, Big Data Platforms, Cloud based data platforms and Data Streaming technologies - Experience leading technical teams (e.g., Data Engineers, Tech Leads), including mentoring, project oversight, and setting technical direction
- Establish, enforce, and champion modern DataOps 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
- 10+ years’ experience managing Data Engineering and leading Technology Teams - 7+ years’ working with SQL Server and other DB management systems with Cloud and on-PREM data ecosystems - 7+ years’ working with cloud-native data ecosystems (GCP, Azure, AWS) with deep experience in Cloud Data Warehouses (e.g., BigQuery, Snowflake, Databricks), exposure to various database types (SQL and NoSQL) and on-prem databases including SQL Server
- 7+ years’ working with SQL Server and other DB management systems with Cloud and on-PREM data ecosystems - 7+ years’ working with cloud-native data ecosystems (GCP, Azure, AWS) with deep experience in Cloud Data Warehouses (e.g., BigQuery, Snowflake, Databricks), exposure to various database types (SQL and NoSQL) and on-prem databases including SQL Server - Expertise in Databricks and the Spark ecosystem, including designing and optimizing pipelines using PySpark, implementing the moder data architecture and strong hands-on experience
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
- 7+ years’ working with cloud-native data ecosystems (GCP, Azure, AWS) with deep experience in Cloud Data Warehouses (e.g., BigQuery, Snowflake, Databricks), exposure to various database types (SQL and NoSQL) and on-prem databases including SQL Server - Expertise in Databricks and the Spark ecosystem, including designing and optimizing pipelines using PySpark, implementing the moder data architecture and strong hands-on experience - Advanced level experience with Python and PySpark (for data processing), advanced SQL, and modern ELT/ETL tools (e.g., Fivetran and dbt).Strong experience with a breadth of Data Integration tools, Databases, Big Data Platforms, Cloud based data platforms and Data Streaming technologies

About Axos Financial Inc

Born digital-first, Axos delivers financial tools and services that allow individuals, small businesses, and companies to access and manage their money how, when, and where they want.

In the employer’s words · Read in context

Job description

View original posting ↗

Axos Bank

Target Range:

$145,000.00 /Yr. - $180,000.00 /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, 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, 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 DataOps 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 Teams
  • 7+ years’ working with SQL Server and other DB management systems with Cloud and on-PREM data ecosystems
  • 7+ years’ working with cloud-native data ecosystems (GCP, Azure, AWS) with deep experience in Cloud Data Warehouses (e.g., BigQuery, Snowflake, Databricks), exposure to various database types (SQL and NoSQL) and on-prem databases including SQL Server
  • Expertise in Databricks and the Spark ecosystem, including designing and optimizing pipelines using PySpark, implementing the moder data architecture and strong hands-on experience
  • Advanced level experience with Python and PySpark (for data processing), advanced SQL, and modern ELT/ETL tools (e.g., Fivetran and dbt).Strong experience with a breadth of Data Integration tools, Databases, Big Data Platforms, Cloud based data platforms and Data Streaming technologies
  • Experience leading technical teams (e.g., Data Engineers, Tech Leads), including mentoring, project oversight, and setting technical direction
  • Strong experience with breadth of Data Integration tools, Databases, Big Data Platforms, Cloud based data platforms and Data Streaming technologies
  •  Expertise within Data Architecture and most importantly deep understanding of the overall Data in an enterprise and ability to understand Data in the context of Business goals
  • Proficient in building from the ground up a modern next generation Lakehouse platform
  • Experience in enterprise implementation, leadership experience, strategic planning, strong business acumen

Preferred:

  • Financial Services experience

Axos Employee Benefits May Include:

  • Medical, Dental, Vision, and Life Insurance

  • Paid Sick Leave, 3 weeks’ Vacation, and Holidays (about 11 a year)

  • HSA or FSA account and other voluntary benefits

  • 401(k) Retirement Saving Plan with Employer Match Program and 529 Savings Plan

  • Employee Mortgage Loan Program and free access to an Axos Bank Account with Self-Directed Trading

About Axos

Born digital-first, Axos delivers financial tools and services that allow individuals, small businesses, and companies to access and manage their money how, when, and where they want. We’re a diverse team of dynamic, insightful, and independent innovators who are excited to provide technology-driven solutions that offer unbeatable value to our customers.

Axos Financial is our holding company and is publicly traded on the New York Stock Exchange under the symbol "AX" (NYSE: AX).

Learn more about working at Axos

Pre-Employment Background Check and Drug Test:

All offers are contingent upon the candidate successfully passing a credit check, criminal background check, and pre-employment drug screening, which includes screening for marijuana. Axos Bank is a federally regulated banking institution. At the federal level, marijuana is an illegal schedule 1 drug; therefore, we will not employ any person who tests positive for marijuana, regardless of state legalization.

Equal Employment Opportunity:

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 (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, 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.

The work environment characteristics described here are representative of those an employee may encounter while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.

E-Verify and Right to Work Notices

Axos participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States. The E-Verify program is an internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services.

IER Right to Work Poster (English/Spanish)

E-Verify Participation Poster (English/Spanish)

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.

Complete your application on axos.wd5.myworkdayjobs.com. The employer’s form will show what is required.

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Source & posting history

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Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
Target Range: $145,000.00 /Yr. - $180,000.00 /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%
Location & working pattern

HQ - San Diego, CA

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:
Work authorization
Equal Employment Opportunity: 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 (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, 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:
More source context
The work environment characteristics described here are representative of those an employee may encounter while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. E-Verify and Right to Work Notices Axos participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States. The E-Verify program is an internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. IER Right to Work Poster (English/Spanish) E-Verify Participation Poster (English/Spanish)
Status in our records
Active
First seen by us
Jun 2, 2026
Recorded sightings
236
Last seen by us
Oct 11, 2026

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