Axos Bank

Axos Bank

VP, Data Engineering Technical Lead

HQ - San Diego, CA · Vp · Contract

Sponsorship not specifiedDetected 30 days ago
PythonJavaScalaGitSQLBigQueryDatabricksGCPAzureCI/CDMachine LearningSparkAirflowdbtData EngineeringTest AutomationCollaborationProblem Solving

About the role

  • 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.
  • Axos Financial is our holding company and is publicly traded on the New York Stock Exchange under the symbol "AX" (NYSE: AX).

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.
  • 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.
  • Optimize performance and cost: Continuously tune Spark workloads, storage tiers, and orchestration logic across Azure and GCP environments.
  • Drive CI/CD, 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.
  • We are seeking a hands-on VP, Data Engineering Technical Lead to help shape, modernize, and scale our enterprise data platform.

Requirements

  • Bachelors degree
  • 8+ years of experience in data engineering or related technical fields, with at least 3+ years in a lead or senior role.
  • Deep expertise with Databricks, Apache Spark, dbt, Fivetran, Census, Airflow, and Kafka.
  • Working knowledge of AI-assisted engineering tools for development, observability, or optimization.
  • Proficiency in SQL and one programming language (Python, Scala, or Java).
  • Excellent communicator with the ability to translate technical topics to business stakeholders.
  • 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.
  • Strong problem-solving, architectural thinking, and collaboration skills.
  • 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

Skills

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

Compensation

  • These discretionary target bonuses may be awarded semi-annually based upon your achievement of performance goals and targets.

Benefits

  • Mentor data engineers: Provide technical guidance, foster continuous learning, and help the team adopt modern data engineering best practices.

Company info

  • 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.
  • 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.

Equal opportunity

  • 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.

Visa & Work Authorization

  • 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, g
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This listing is sourced directly from Axos Bank's careers page and normalized into a canonical job model.