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VP, Data Engineering Technical Lead

Reads like a Data Leadership role: running a data team.

Pay
$125,000–150,000/yearLocation-specific pay — pay source
Target Range: $125,000.00 /Yr. - $150,000.00 /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%
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Modernize legacy SSIS/SSRS ETL into Databricks, dbt, Fivetran and Airflow pipelines

  • Define reusable data design patterns for ingestion, transformation and consumption

  • Run proofs of concept and points of view on new data technologies

  • Enforce CI/CD, version control, peer reviews and observability across the platform

  • Mentor data engineers on modern engineering practices

From the employer’s posting
Lead the transformation of SSIS/SSRS workloads into modular, high-performance pipelines using Databricks, dbt, Fivetran, and Airflow.
Define and implement standardized frameworks for ingestion, transformation, curation, and consumption layers across the Lakehouse.
Develop and lead POCs/POVs
Drive CI/CD, version control, peer reviews, and observability practices across the data platform.
Provide technical guidance, foster continuous learning, and help the team adopt modern data engineering best practices.

What you’ll bring

All qualifications

Core experience

  • 8+ years of experience in data engineering or related technical fields, with at least 3+ years in a lead or senior role.
  • 401(k) Retirement Saving Plan with Employer Match Program and 529 Savings Plan
  • Proven experience designing and implementing data design patterns (e.g., CDC, SCD, Medallion, Data Vault, streaming, and batch patterns).
  • Deep expertise with Databricks, Apache Spark, dbt, Fivetran, Census, Airflow, and Kafka.
  • Solid experience across Azure and/or GCP (e.g., Synapse, Data Factory, BigQuery, Pub/Sub).
  • Hands-on experience modernizing legacy ETL (SSIS/SSRS) workloads into cloud-native pipelines.
Qualification wording
8+ years of experience in data engineering or related technical fields, with at least 3+ years in a lead or senior role.
401(k) Retirement Saving Plan with Employer Match Program and 529 Savings Plan
Proven experience designing and implementing data design patterns (e.g., CDC, SCD, Medallion, Data Vault, streaming, and batch patterns).
Deep expertise with Databricks, Apache Spark, dbt, Fivetran, Census, Airflow, and Kafka. Solid experience across Azure and/or GCP (e.g., Synapse, Data Factory, BigQuery, Pub/Sub).
Hands-on experience modernizing legacy ETL (SSIS/SSRS) workloads into cloud-native pipelines.
Education & alternatives
Qualifications: - Bachelors degree - 8+ years of experience in data engineering or related technical fields, with at least 3+ years in a lead or senior role.

About Axos Financial

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

Apply at Axos Financial

Posting record

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Open 5 monthsWe first saw this posting 155 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jun 2, 2026155 days ago
Recorded sightings
300
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$154K–$225K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,958 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 155

Up longer than most. Similar jobs usually come down between day 7 and day 53.

From 7,804 similar postings that came down. Coming down is not always a hire.

Axos Financial is hiring

27 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Its jobs tend to stay up a long time
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Java
  • Python
  • Scala
  • SQL
  • Azure
  • BigQuery
  • Census
  • Databricks
  • dbt
  • Delta Lake
  • Fivetran
  • GCP
  • Iceberg
  • Kafka
  • Spark
  • SSRS
  • Airflow
Where the posting names them
- Working knowledge of AI-assisted engineering tools for development, observability, or optimization. - Proficiency in SQL and one programming language (Python, Scala, or Java). - Strong problem-solving, architectural thinking, and collaboration skills.
- Mentor data engineers: Provide technical guidance, foster continuous learning, and help the team adopt modern data engineering best practices. - Optimize performance and cost: Continuously tune Spark workloads, storage tiers, and orchestration logic across Azure and GCP environments. Qualifications:
- Proven experience designing and implementing data design patterns (e.g., CDC, SCD, Medallion, Data Vault, streaming, and batch patterns). - Deep expertise with Databricks, Apache Spark, dbt, Fivetran, Census, Airflow, and Kafka. Solid experience across Azure and/or GCP (e.g., Synapse, Data Factory, BigQuery, Pub/Sub). - Hands-on experience modernizing legacy ETL (SSIS/SSRS) workloads into cloud-native pipelines.
Responsibilities - Modernize legacy ETL pipelines: Lead the transformation of SSIS/SSRS workloads into modular, high-performance pipelines using Databricks, dbt, Fivetran, and Airflow. - Architect reusable data design patterns: Define and implement standardized frameworks for ingestion, transformation, curation, and consumption layers across the Lakehouse.
- Develop and lead POCs/POVs: Experiment with new technologies (e.g., Delta Live Tables, Iceberg, streaming ingestion, AI-driven observability) to validate architecture choices and influence the enterprise roadmap. - Leverage AI to accelerate engineering: Use AI-enabled tools like Databricks Assistant, Cursor AI, GitHub Copilot, and dbt Mesh AI tests for code generation, automated testing, documentation, and pipeline optimization. - Apply ML for operational intelligence: Integrate predictive models to detect pipeline anomalies, data drift, and optimize compute and scheduling.
- Architect reusable data design patterns: Define and implement standardized frameworks for ingestion, transformation, curation, and consumption layers across the Lakehouse. - Develop and lead POCs/POVs: Experiment with new technologies (e.g., Delta Live Tables, Iceberg, streaming ingestion, AI-driven observability) to validate architecture choices and influence the enterprise roadmap. - Leverage AI to accelerate engineering: Use AI-enabled tools like Databricks Assistant, Cursor AI, GitHub Copilot, and dbt Mesh AI tests for code generation, automated testing, documentation, and pipeline optimization.
- Deep expertise with Databricks, Apache Spark, dbt, Fivetran, Census, Airflow, and Kafka. Solid experience across Azure and/or GCP (e.g., Synapse, Data Factory, BigQuery, Pub/Sub). - Hands-on experience modernizing legacy ETL (SSIS/SSRS) workloads into cloud-native pipelines. - Demonstrated ability to build POCs and POVs that validate new tools, frameworks, or architectures.

Your next step

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About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

Axos Bank

Target Range:

$125,000.00 /Yr. - $150,000.00 /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

We are seeking a hands-on VP, Data Engineering Technical Lead to help shape, modernize, and scale our enterprise data platform. This role is central to our mission of transforming legacy data systems into a modern, cloud-native Lakehouse environment that powers analytics, AI, and business intelligence across the organization. As a technical lead, you will design and deliver scalable data pipelines, define data design patterns, enforce engineering standards, and leverage AI-assisted tools to accelerate modernization, improve productivity, and reduce technical debt. You will drive proofs of concept (POCs) and points of view (POVs) to evaluate emerging technologies and frameworks, ensuring that the platform remains innovative, cost-efficient, and future-ready.

Responsibilities

  • Modernize legacy ETL pipelines: Lead the transformation of SSIS/SSRS workloads into modular, high-performance pipelines using Databricks, dbt, Fivetran, and Airflow.
  • Architect reusable data design patterns: Define and implement standardized frameworks for ingestion, transformation, curation, and consumption layers across the Lakehouse.
  • Develop and lead POCs/POVs: Experiment with new technologies (e.g., Delta Live Tables, Iceberg, streaming ingestion, AI-driven observability) to validate architecture choices and influence the enterprise roadmap.
  • Leverage AI to accelerate engineering: Use AI-enabled tools like Databricks Assistant, Cursor AI, GitHub Copilot, and dbt Mesh AI tests for code generation, automated testing, documentation, and pipeline optimization.
  • Apply ML for operational intelligence: Integrate predictive models to detect pipeline anomalies, data drift, and optimize compute and scheduling.
  • Enforce engineering excellence: Drive CI/CD, version control, peer reviews, and observability practices across the data platform.
  • Collaborate cross-functionally: Partner with data architects, platform engineers, analysts, and business product owners to translate business needs into technical solutions.
  • Mentor data engineers: Provide technical guidance, foster continuous learning, and help the team adopt modern data engineering best practices.
  • Optimize performance and cost: Continuously tune Spark workloads, storage tiers, and orchestration logic across Azure and GCP environments.

Qualifications:

  • Bachelors degree
  • 8+ years of experience in data engineering or related technical fields, with at least 3+ years in a lead or senior role.
  • Proven experience designing and implementing data design patterns (e.g., CDC, SCD, Medallion, Data Vault, streaming, and batch patterns).
  • Deep expertise with Databricks, Apache Spark, dbt, Fivetran, Census, Airflow, and Kafka. Solid experience across Azure and/or GCP (e.g., Synapse, Data Factory, BigQuery, Pub/Sub).
  • Hands-on experience modernizing legacy ETL (SSIS/SSRS) workloads into cloud-native pipelines.
  • Demonstrated ability to build POCs and POVs that validate new tools, frameworks, or architectures.
  • Working knowledge of AI-assisted engineering tools for development, observability, or optimization.
  • Proficiency in SQL and one programming language (Python, Scala, or Java).
  • Strong problem-solving, architectural thinking, and collaboration skills.
  • Excellent communicator with the ability to translate technical topics to business stakeholders.

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)

Source details

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Pay
Target Range: $125,000.00 /Yr. - $150,000.00 /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

Working pattern and location restrictions need checking in the full posting.

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)

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