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.    

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

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-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

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

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

 

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 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 https://www.okta.com/privacy-policy/. 

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 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 https://www.okta.com/privacy-policy/.

 

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Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okt