VP, Data Engineering Technical Lead
AI summary of the role
Hands-on VP-level technical lead to modernize Axos Bank's enterprise data platform into a cloud-native Lakehouse on Azure/GCP using Databricks, dbt, Fivetran, and Airflow.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Modernize legacy SSIS/SSRS ETL pipelines into modular, high-performance pipelines using Databricks, dbt, Fivetran, and Airflow.
- Architect reusable data design patterns for ingestion, transformation, curation, and consumption layers across the Lakehouse.
- Develop and lead POCs/POVs for new technologies like Delta Live Tables, Iceberg, and streaming ingestion.
- Leverage AI-enabled tools (Databricks Assistant, Cursor AI, GitHub Copilot) for code generation, testing, and pipeline optimization.
What you’ll bring
- 8+ years in data engineering with 3+ years in a lead or senior role.
- 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.
Technologies
Databricks · Apache Spark · dbt · Fivetran · Airflow · Kafka · Azure · GCP · SSIS · SSRS · Delta Live Tables · Iceberg
About Axos Bank
Digital-first U.S. bank and financial-services platform offering consumer/business banking, lending, deposits, securities clearing, and advisory infrastructure through low-cost online channels.
Public · 1000–2000 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
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
More from the 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 usin [... source excerpt omitted ...] dern 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 legac [... source excerpt omitted ...] 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 s
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