Senior Analytics Engineer
Okta
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Compensation
Salary & market context
77% above the BLS national median
BLS national median: $74,680
- $182,000
- $118,000
- $162,000
Requirements
Top requirements
- 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.
- 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!
- Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location.
Perks & setup
Benefits candidates care about
- 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.
- In addition, Okta 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) in accordance with our applicable plans and policies.
Why candidates care
Benefits & perks
- 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.
- In addition, Okta 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) in accordance with our applicable plans and policies.
Start here
Requirements
- 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.
- 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!
- Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location.
Responsibilities
What you'll do
- You will own our marketing attribution logic and end-to-end funnel performance data, evolving our current processes into an enterprise-grade ecosystem.
- 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!
Role snapshot
About the role
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.
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