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About the Role

Okta's Enterprise Data & Insights team is 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, where 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.

Responsibilities

Design, build, and maintain scalable data models using dbt and Snowflake
Define and standardize core Finance, HR and Enterprise level metrics 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
Leverage AI-assisted workflows to improve productivity, code quality, and consistency
Explore emerging capabilities in platforms like Snowflake Cortex and Snowflake Intelligence, and how they can be applied to Enterprise analytics

Requirements

5–8+ years of experience in Analytics Engineering, Data Engineering, or similar roles
Strong SQL skills and experience building analytics-ready data models
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

Skills

dbt
Snowflake
SQL
Python
R
PySpark
Tableau
Looker

Location

Remote

Work Type

Hybrid

Experience Level

Senior

Salary/Compensations

$132,000—$182,000 USD
$118,000—$162,000 USD

Benefits

Equity (where applicable)
Bonus
Health, dental and vision insurance
401(k)
Flexible spending account
Paid leave (including PTO and parental leave)

About the Company

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.
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/.
The Okta Experience: Supporting Your Well-Being, Driving Social Impact, Developing Talent and Fostering Connection + Community. We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

Equal Opportunity

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.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.