Senior Analytics Engineer

Secure Every Identity, from AI to HumanIdentity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.The Global Data & Insights Team Okta's Enterprise Data & Insights team powers the data infrastructure that drives decision-making across the company by building reliable pipelines, scalable data platforms, and production-grade data products. We partner closely with internal Data and Insights Analysts as well as external Okta Product teams to unlock business value through robust data architecture, efficient data movement, and the engineering foundations that make data trustworthy at scale.       The Senior Analytics Engineer, Marketing Opportunity We are seeking a Senior Analytics Engineer to serve as the technical architect of our marketing data engine. You will own our marketing attribution logic and end-to-end funnel performance data, evolving our current processes into an enterprise-grade ecosystem. Your mission is to uncover the high-fidelity signals that drive new customer acquisition and maximize expansion within our existing base. You’ll tackle a sophisticated roadmap of advanced analytics, transforming raw touchpoints into a trusted, scalable framework for growth. This role sits at the intersection of business context and technical execution. You will design scalable data models, define consistent business logic, and help establish a strong semantic foundation that enables both human analytics and machine-driven intelligence. You will partner closely with Marketing stakeholders, Data Analysts, Data Scientists, and Data Engineers to ensure data is accurate, consistent, and easy to consume; whether through dashboards, self-service exploration, or AI-powered workflows. What you’ll be doing Data Modeling & Semantics Design, build, and maintain scalable data models using dbt and Snowflake Define and standardize core Marketing metrics (e.g., pipeline, campaign performance, attribution, conversion rates) Establish consistent modeling patterns, naming conventions, and semantic clarity across datasets Contribute to a shared semantic layer that enables consistent reporting across channels and tools AI-Ready Data & Snowflake Ecosystem Prepare high-quality, well-governed datasets for use with Snowflake Cortex and Snowflake Intelligence Enable data foundations that support LLM-powered use cases such as campaign insights, segmentation, and performance optimization Ensure data is context-rich, well-documented, and aligned with business meaning to improve AI accuracy and usability Data Quality, Governance & Trust Implement robust testing, validation, and documentation practices in dbt Ensure consistency across dashboards and marketing tools through shared definitions and reusable models Apply data governance best practices, including access controls, lineage, and auditability Partner across teams to establish clear ownership of marketing data assets and definitions Collaboration & Delivery Partner with Marketing, Customer First, and Analytics teams to translate business needs into scalable data solutions Support self-service analytics by building intuitive, reusable datasets across channels (e.g., digital, lifecycle, events) Contribute to scalable data workflows that balance immediate campaign needs with long-term maintainability Work within an agile environment, contributing to planning, prioritization, and continuous improvement AI and Data Mindset Demonstrate an AI-first mindset, thinking beyond data models and dashboards to how data can power intelligent systems and decision-making Understand the importance of well-modeled, well-documented, and semantically clear data for AI and LLM-based use cases A level of comfort leveraging AI-assisted workflows to improve productivity, code quality, and consistency Curiosity for emerging capabilities in platforms like Snowflake Cortex and Snowflake Intelligence, and how they can be applied to Marketing analytics What you’ll bring to the role 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 Exposure to Python, R, or data processing frameworks (e.g., PySpark) is a plus Experience with BI tools such as Tableau or Looker Strong communication skills and ability to work across technical and business teams   What you can look forward to as an Okta employee! Amazing Benefits Making Social Impact Fostering Diversity, Equity, Inclusion and Belonging at Okta  Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/. Okta is an Equal