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Axos Bank

Digital bank offering integrated financial services

Vice President Data Engineering Technical Lead

Data EngineeringConfirmed live in the last 24 hours
Full-timeSan Diego, CA, USA$125k - $150k /yrIn-person

About the Job

Requirements

  • A Bachelor's degree is required.
  • At least 8 years of experience in data engineering or related technical fields, including at least 3 years in a lead or senior role, is required.
  • Experience designing and implementing data design patterns such as change data capture, slowly changing dimensions, Medallion, Data Vault, streaming, and batch patterns is required.
  • Deep expertise with Databricks, Apache Spark, dbt, Fivetran, Census, Airflow, and Kafka is required.
  • Solid experience with Azure and/or Google Cloud Platform, including services such as Synapse, Data Factory, BigQuery, and Pub/Sub, is required.
  • Hands-on experience modernizing legacy extract, transform, load workloads using SQL Server Integration Services and SQL Server Reporting Services into cloud-native pipelines is required.
  • The candidate must be able to build proofs of concept and points of view that validate new tools, frameworks, or architectures.
  • Working knowledge of artificial-intelligence-assisted engineering tools for development, observability, or optimization is required.
  • Proficiency in SQL and at least one of Python, Scala, or Java is required.
  • The candidate must demonstrate problem-solving, architectural thinking, collaboration, and the ability to communicate technical topics to business stakeholders.

Responsibilities

  • Lead the transformation of SQL Server Integration Services and SQL Server Reporting Services 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.
  • Experiment with technologies such as Delta Live Tables, Iceberg, streaming ingestion, and artificial-intelligence-driven observability to validate architecture choices and influence the enterprise roadmap.
  • Use Databricks Assistant, Cursor AI, GitHub Copilot, and dbt Mesh AI tests for code generation, automated testing, documentation, and pipeline optimization.
  • Integrate predictive models to detect pipeline anomalies and data drift and to optimize compute and scheduling.
  • Drive continuous integration and continuous delivery, version control, peer reviews, and observability practices across the data platform.
  • Partner with data architects, platform engineers, analysts, and business product owners to translate business needs into technical solutions.
  • Provide technical guidance to data engineers, foster continuous learning, and help the team adopt modern data engineering best practices.
  • Tune Spark workloads, storage tiers, and orchestration logic across Azure and Google Cloud Platform environments.

About the Company

Axos Bank

Digital bank offering integrated financial services

Axos Bank is a financial institution that offers banking, investing, clearing, and custody services in a single platform. It provides traditional banking products for individuals and businesses, and integrates services across money management, investment, and settlement functions to simplify finances. The company operates as a digital-first bank, aiming to connect multiple financial services under one provider rather than requiring customers to use several firms. Its product approach centers on merging banking with other financial services to create a unified experience—one firm with many ways forward. Axos’s goal is to make money work smarter for customers by offering accessible, connected financial solutions and broadening the scope of what a bank can do for individuals, businesses, and institutions.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
San Diego, CA
Founded
1999

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