Senior Analytics Engineer at Okta

You're a seasoned Senior Analytics Engineer with 5-8+ years of experience, bringing strong SQL skills and a solid understanding of data modeling principles, par

Work type: hybrid

Location: Bellevue, Washington; Chicago, Illinois; San Francisco, California

Salary: $132,000 – $182,000/yr

Type: Full-time

Summary

You're a seasoned Senior Analytics Engineer with 5-8+ years of experience, bringing strong SQL skills and a solid understanding of data modeling principles, particularly dimensional modeling and semantic design. Familiarity with SaaS metrics and Finance/People data is also key. **What makes it worth a look...** This full-time, hybrid role at Okta offers a competitive salary of USD 132,000 - 182,000 per year and is based in Bellevue, Chicago, or San Francisco. The position focuses on building the data infrastructure to support AI initiatives and trusted decision-making. **You might be a good fit if you...** * Have hands-on experience with dbt and Snowflake or similar data platforms. * Can design and maintain scalable data models with clear, governed logic for core business metrics. * Are comfortable preparing well-governed datasets for AI use cases and understanding data quality best practices. * Have experience with BI tools such as Tableau or Looker.

Job Description

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, 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

• 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

• 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

• 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

• 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 Enterprise analytics

• 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

• 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 etc.)

• 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

• Amazing[ Benefits](https://rewards.okta.com/)

• Making[ Social Impact](https://www.okta.com/okta-for-good/)

• Fostering[ Diversity, Equity, Inclusion and Belonging at Okta ](https://www.okta.com/diversity/)

• 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/](https://www.okta.com/company/careers/).

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