Job description

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)

Requirements

Must-haves

$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.
These discretionary target bonuses may be awarded semi-annually based upon your achievement of performance goals and targets.
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.
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.
Paid Sick Leave, 3 weeks’ Vacation, and Holidays (about 11 a year)

Nice-to-haves

Eligible for an Annual Discretionary Cash Bonus Target: 10%
Eligible for an Annual Discretionary Restricted Stock Units Bonus Target: 10%

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlci/cdazuregcpsqlpythonjava

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)