Founded in 2017 Obsidian Security was created to close a critical gap: securing the SaaS applications where modern business happensplatforms like Microsoft 365 Salesforce and hundreds more.
Backed by top investors including Greylock Norwest Venture Partners and IVP weve built a complete SaaS security platform to reduce risk detect and respond to threats and prevent breaches at the source. Our team includes leaders who helped define the categories of endpoint and identity security at CrowdStrike Okta Cylance and Carbon Black.
Now were transforming how SaaS is securedin the era of agentic AI.
Today Obsidian is trusted by global enterprises like Snowflake T-Mobile and Pure Storage. We protect more than 200 organizations across North America Europe the Middle East Southeast Asia Australia and New Zealandincluding many of the worlds largest Fortune 1000 and Global 2000 companies.
With strong global momentum a growing partner ecosystem including SentinelOne Databricks and Google Cloud and a major fundraise on the horizon were scaling quickly toward long-term growth and IPO readiness. Join us as we define the future of SaaS security!
About the Role
Were hiring a Lead Analytics Engineer to be the senior technical owner of Obsidians data warehouse and analytics foundation. You will own the DBT project the warehouse architecture and the semantic layer that every executive dashboard GTM workflow and internal AI agent will rely on. You will also help lead our use of AI in how we build using modern AI coding tools to ship dbt models automated workflows and reporting pipelines at a pace a small team alone could not.
We are looking for a Senior Technical owner to set the bar for mart design documentation AI-augmented development and for how data flows from our systems of record into the reports and workflows that run the business.
You will report directly to the VP of Business Systems Data & IT. You will partner closely with Product Sales CS Finance Marketing and Security and you will collaborate with teammates across the Business Systems Data & IT function.
What Youll Do
Own the analytics foundation
Build and own the dbt project end-to-end - mart architecture modeling conventions materialization patterns testing lineage documentation.
Design dimensional models that serve both human dashboards and downstream AI agents with equal rigor.
Stand up CI/CD discipline on the dbt project including PR review automated testing and deployment workflows.
Build the pipelines and the warehouse
Own Fivetran ingestion across our GTM finance HR and operational sources.
Design and operate reverse-ETL pipelines that move trusted data from the warehouse back into systems of record.
Migrate existing reports from our legacy database onto the new BigQuery foundation without breaking continuity.
Use AI to ship more faster
Build with AI coding tools (Claude Cursor Codex and similar) as part of your daily workflow and set the team standard for AI-augmented analytics engineering.
Design schemas documentation and semantic conventions specifically with downstream AI agents in mind - context-rich well-named unambiguously documented.
Build automated workflows on top of the warehouse: cost aggregation across vendor APIs automated executive reporting deliveries automatic field updates from call intelligence into CRM and similar.
Raise the bar across the team
Set technical standards for the data function mentor and uplevel teammates and establish conventions that scale beyond your own hands.
What Youll Bring
Requirements
8 years building analytics or data engineering systems in production with deep hands-on dbt experience. You have owned a DBT project not just contributed to one.
Strong business fluency in B2B SaaS and an instinct to start from the process not the metric. You understand the upstream GTM billing and customer-lifecycle workflows that generate ARR NRR churn CAC gross margin pipeline conversion and deal velocity.
You can take a finance or RevOps question walk the process it lives in and translate it into the right data model. You know that the upstream process matters at least as much as the model that reports on it.
Expert SQL and dimensional modeling. You can defend a modeling decision in a paragraph and you have opinions about incremental materialization.
Production experience with a cloud data warehouse (BigQuery preferred; Snowflake Redshift or Databricks transferable) and a managed ELT platform (Fivetran preferred).
Demonstrated daily use of AI coding tools to ship real work - not as a curiosity but as a tool you have used to deliver production output.
Strong written and verbal communication. You can explain a data model decision to an engineer and a stakeholder with equal clarity.
Preferred
Python for ingestion automation and integration work.
Workflow automation experience on Workato Airflow or a similar platform.
Reverse-ETL experience on Census Hightouch or equivalent.
Hands-on familiarity with the GTM data stack (Salesforce Marketo Gong or similar).
Experience in standing up an analytics warehouse from a greenfield state.
Experience working on a Business Systems Revenue Operations or similar internal ops team with direct exposure to the processes that generate the data.
Experience operationalizing customer-data separation in a warehouse (mart access policies anonymization pathways privacy-aligned PII handling).
B2B SaaS or cybersecurity domain background.
Employee Benefits
Our competitive benefits packages are designed to support our employees well-being both at work and at home. Our US based employees enjoy:
Competitive compensation with equity and 401k
Comprehensive healthcare with dental and vision coverage
Flexible paid time off and paid holiday time off
12 weeks of new parent or family leave
Personal and professional development resources
For more details on our US benefits or for information on our international benefits please see here.
Pay Transparancy
Please note that the base pay range is a guideline and for candidates who receive an offer the base pay will vary based on factors such as work location as well as the knowledge skills and experience of the addition to a competitive base salary this position is eligible for equity awards and may be eligible for sales commission or incentive compensation based on the role or function within the company.
At Obsidian we are proud to be an equal-opportunity employer. We value diversity and hire for talent passion and compliance with federal law all persons hired will be required to submit satisfactory proof of identity and legal authorization. If you have a need that requires accommodation please contact
Information collected and processed as part of any job applications you choose to submit is subject to Obsidians Applicant Privacy Policy.
Base Salary Range
$219000 - $240000 USD
Required Experience:
IC
Founded in 2017 Obsidian Security was created to close a critical gap: securing the SaaS applications where modern business happensplatforms like Microsoft 365 Salesforce and hundreds more.Backed by top investors including Greylock Norwest Venture Partners and IVP weve built a complete SaaS security...
Founded in 2017 Obsidian Security was created to close a critical gap: securing the SaaS applications where modern business happensplatforms like Microsoft 365 Salesforce and hundreds more.
Backed by top investors including Greylock Norwest Venture Partners and IVP weve built a complete SaaS security platform to reduce risk detect and respond to threats and prevent breaches at the source. Our team includes leaders who helped define the categories of endpoint and identity security at CrowdStrike Okta Cylance and Carbon Black.
Now were transforming how SaaS is securedin the era of agentic AI.
Today Obsidian is trusted by global enterprises like Snowflake T-Mobile and Pure Storage. We protect more than 200 organizations across North America Europe the Middle East Southeast Asia Australia and New Zealandincluding many of the worlds largest Fortune 1000 and Global 2000 companies.
With strong global momentum a growing partner ecosystem including SentinelOne Databricks and Google Cloud and a major fundraise on the horizon were scaling quickly toward long-term growth and IPO readiness. Join us as we define the future of SaaS security!
About the Role
Were hiring a Lead Analytics Engineer to be the senior technical owner of Obsidians data warehouse and analytics foundation. You will own the DBT project the warehouse architecture and the semantic layer that every executive dashboard GTM workflow and internal AI agent will rely on. You will also help lead our use of AI in how we build using modern AI coding tools to ship dbt models automated workflows and reporting pipelines at a pace a small team alone could not.
We are looking for a Senior Technical owner to set the bar for mart design documentation AI-augmented development and for how data flows from our systems of record into the reports and workflows that run the business.
You will report directly to the VP of Business Systems Data & IT. You will partner closely with Product Sales CS Finance Marketing and Security and you will collaborate with teammates across the Business Systems Data & IT function.
What Youll Do
Own the analytics foundation
Build and own the dbt project end-to-end - mart architecture modeling conventions materialization patterns testing lineage documentation.
Design dimensional models that serve both human dashboards and downstream AI agents with equal rigor.
Stand up CI/CD discipline on the dbt project including PR review automated testing and deployment workflows.
Build the pipelines and the warehouse
Own Fivetran ingestion across our GTM finance HR and operational sources.
Design and operate reverse-ETL pipelines that move trusted data from the warehouse back into systems of record.
Migrate existing reports from our legacy database onto the new BigQuery foundation without breaking continuity.
Use AI to ship more faster
Build with AI coding tools (Claude Cursor Codex and similar) as part of your daily workflow and set the team standard for AI-augmented analytics engineering.
Design schemas documentation and semantic conventions specifically with downstream AI agents in mind - context-rich well-named unambiguously documented.
Build automated workflows on top of the warehouse: cost aggregation across vendor APIs automated executive reporting deliveries automatic field updates from call intelligence into CRM and similar.
Raise the bar across the team
Set technical standards for the data function mentor and uplevel teammates and establish conventions that scale beyond your own hands.
What Youll Bring
Requirements
8 years building analytics or data engineering systems in production with deep hands-on dbt experience. You have owned a DBT project not just contributed to one.
Strong business fluency in B2B SaaS and an instinct to start from the process not the metric. You understand the upstream GTM billing and customer-lifecycle workflows that generate ARR NRR churn CAC gross margin pipeline conversion and deal velocity.
You can take a finance or RevOps question walk the process it lives in and translate it into the right data model. You know that the upstream process matters at least as much as the model that reports on it.
Expert SQL and dimensional modeling. You can defend a modeling decision in a paragraph and you have opinions about incremental materialization.
Production experience with a cloud data warehouse (BigQuery preferred; Snowflake Redshift or Databricks transferable) and a managed ELT platform (Fivetran preferred).
Demonstrated daily use of AI coding tools to ship real work - not as a curiosity but as a tool you have used to deliver production output.
Strong written and verbal communication. You can explain a data model decision to an engineer and a stakeholder with equal clarity.
Preferred
Python for ingestion automation and integration work.
Workflow automation experience on Workato Airflow or a similar platform.
Reverse-ETL experience on Census Hightouch or equivalent.
Hands-on familiarity with the GTM data stack (Salesforce Marketo Gong or similar).
Experience in standing up an analytics warehouse from a greenfield state.
Experience working on a Business Systems Revenue Operations or similar internal ops team with direct exposure to the processes that generate the data.
Experience operationalizing customer-data separation in a warehouse (mart access policies anonymization pathways privacy-aligned PII handling).
B2B SaaS or cybersecurity domain background.
Employee Benefits
Our competitive benefits packages are designed to support our employees well-being both at work and at home. Our US based employees enjoy:
Competitive compensation with equity and 401k
Comprehensive healthcare with dental and vision coverage
Flexible paid time off and paid holiday time off
12 weeks of new parent or family leave
Personal and professional development resources
For more details on our US benefits or for information on our international benefits please see here.
Pay Transparancy
Please note that the base pay range is a guideline and for candidates who receive an offer the base pay will vary based on factors such as work location as well as the knowledge skills and experience of the addition to a competitive base salary this position is eligible for equity awards and may be eligible for sales commission or incentive compensation based on the role or function within the company.
At Obsidian we are proud to be an equal-opportunity employer. We value diversity and hire for talent passion and compliance with federal law all persons hired will be required to submit satisfactory proof of identity and legal authorization. If you have a need that requires accommodation please contact
Information collected and processed as part of any job applications you choose to submit is subject to Obsidians Applicant Privacy Policy.
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