Enterprise Data Engineering Manager - FVP
Axos Bank, San Diego, CA, United States
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.
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, execute 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
Provide 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
Collaborate with multiple teams, understand the overall enterprise Data Architecture, and develop the end‑to‑end solutions for data sourcing, data processing/integration, data provisioning and delivery
Deliver 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 the team, while creating a vision for the team and educating cross‑functional teams on how to leverage data to identify opportunities to increase revenue and performance
Drive IT solutions to ensure they meet business needs balanced with a pragmatic and integrated approach to the design of technical solutions
Remain up to date on key technology, business, and industry trends
Perform 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 modern 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
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.
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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.
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, execute 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
Provide 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
Collaborate with multiple teams, understand the overall enterprise Data Architecture, and develop the end‑to‑end solutions for data sourcing, data processing/integration, data provisioning and delivery
Deliver 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 the team, while creating a vision for the team and educating cross‑functional teams on how to leverage data to identify opportunities to increase revenue and performance
Drive IT solutions to ensure they meet business needs balanced with a pragmatic and integrated approach to the design of technical solutions
Remain up to date on key technology, business, and industry trends
Perform 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 modern 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
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.
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