Senior Analytics Engineer

Secure Every Identity, from AI to Human Identity 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. Senior Analytics Engineer, Enterprise Opportunity We are seeking a Senior Analytics Engineer to support the Enterprise by building reliable, well‑modeled, and trusted data for reporting, decision‑making, and emerging AI use cases. 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 Finance, People and Company Operations stakeholders, Data Analysts, 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 Finance, HR and Enterprise level metrics (e.g., revenue, ARR, billing, attrition, executive insights, security) with clear, governed logic Establish consistent modeling patterns, naming conventions, and semantic clarity across datasets Contribute to a shared semantic layer that supports both analytics and AI use cases AI‑Ready Data & Snowflake Ecosystem Prepare high‑quality, well‑governed datasets for use with Snowflake Cortex and Snowflake Intelligence Enable structured data foundations that support LLM‑powered use cases, semantic querying, and intelligent applications Ensure data is context‑rich, well‑documented, and aligned with business meaning to improve AI accuracy and trust Data Quality, Governance & Trust Implement robust testing, validation, and documentation practices in dbt Ensure consistency across reports and dashboards through shared definitions and reusable models Apply data governance best practices, including access controls, lineage, and auditability Partner across teams to establish clear ownership and accountability for data assets Collaboration & Delivery Partner with Finance, Analysts, and cross‑functional stakeholders to translate business needs into data solutions Support self‑service analytics by building intuitive, reusable datasets Contribute to scalable data workflows that balance immediate business 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‑modelled, well‑documented, and semantically clear data for AI and LLM‑based use cases Leverage 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 Enterprise 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 and engineering excellence: raise the technical bar, establish 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 Ability to navigate highly ambiguous business challenges, translating vague, complex, or competing goals from executive stakeholders into clear, actionable, and robust data solutions Experience translating business requirements into clear, maintainable data logic Familiarity with SaaS metrics and Finance and People data (e.g., ARR, revenue recognition, billing, attrition) 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 Salary Below is the annual base salary range for candidates located in the San Francisco Bay Area: $132,000 – $182,000 USD . Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. Okta also offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave). Salary ranges for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington: $118,000 – $162,000 USD . Other terms are as above. Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation. Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at #J-18808-Ljbffr