Senior Analytics Engineer

Okta Okta · Enterprise · San Francisco, CA · Data & Insights-190

Okta is seeking a Senior Analytics Engineer to architect their marketing data engine, focusing on attribution logic and funnel performance. This role involves designing scalable data models, defining business logic, and preparing high-quality datasets to support AI/LLM use cases within Snowflake. The engineer will ensure data quality, governance, and collaborate with marketing and data teams to transform raw data into actionable insights for growth and intelligent systems.

What you'd actually do

  1. Design, build, and maintain scalable data models using dbt and Snowflake
  2. Define and standardize core Marketing metrics (e.g., pipeline, campaign performance, attribution, conversion rates)
  3. Prepare high-quality, well-governed datasets for use with Snowflake Cortex and Snowflake Intelligence
  4. Implement robust testing, validation, and documentation practices in dbt
  5. Partner with Marketing, Customer First, and Analytics teams to translate business needs into scalable data solutions

Skills

Required

  • 5–8+ years of experience in Analytics Engineering, Data Engineering, or similar roles
  • Strong SQL skills and experience building analytics-ready data models
  • Mentorship & Engineering Excellence: Mentorship, raising the technical bar, establishing organization-wide standards for dbt/SQL quality and CI/CD
  • Hands-on experience with dbt and Snowflake or other ETL, Modeling and database platforms
  • Solid understanding of data modeling principles, including dimensional modeling and semantic design
  • Experience working with Marketing data (e.g., campaign data, web analytics, CRM, attribution models)
  • Familiarity with tools such as Salesforce, Marketo, Google Analytics, or similar platforms
  • Experience with data quality, testing, and documentation best practices
  • Strong communication skills and ability to work across technical and business teams

Nice to have

  • Exposure to Python, R, or data processing frameworks (e.g., PySpark)
  • Experience with BI tools such as Tableau or Looker

What the JD emphasized

  • technical architect of our marketing data engine
  • own our marketing attribution logic and end-to-end funnel performance data
  • transforming raw touchpoints into a trusted, scalable framework for growth
  • prepare high-quality, well-governed datasets for use with Snowflake Cortex and Snowflake Intelligence
  • enable data foundations that support LLM-powered use cases
  • Demonstrate an AI-first mindset