Obsidian Security
SaaS security
LeadAnalyticsEngineer
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Analytics Engineer at Obsidian Security. Skills: DBT, Data Warehouse, AI Coding Tools. Own DBT project. Own warehouse architecture”
Industry & Context.
What They're Looking For.
Must Have
DBT project, warehouse architecture, semantic layer, AI coding tools, data model decision, written and verbal communication, Snowflake, Redshift, Databricks, managed ELT platform, Fivetran
Nice to Have
Python for ingestion, automation, integration work, Workflow automation, Workato, Airflow, Reverse-ETL, Census, Hightouch, GTM data stack, Salesforce, Marketo, Gong, analytics warehouse from greenfield, Business Systems, Revenue Operations, customer-data separation, mart access policies, anonymization pathways, privacy-aligned PII handling, B2B SaaS, cybersecurity domain background
What You'll Do.
Own warehouse architecture
Lead AI use in building
Ship automated workflows
Ship reporting pipelines
Set bar for mart design
Set bar for documentation
Set bar for AI-augmented development
Set bar for data flow
How You'll Work.
Team & Collaboration
Explain data model decision to engineer; Explain data model decision to stakeholder
Communication Scope
written communication; verbal communication; explain data model decision
Full Job Description
Founded in 2017, Obsidian Security was created to close a critical gap: securing the SaaS applications where modern business happens—platforms like Microsoft 365, Salesforce, and hundreds more. Backed by top investors including Greylock, Norwest Venture Partners, and IVP, we’ve 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, we’re transforming how SaaS is secured—in 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 Zealand—including many of the world’s 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, we’re scaling quickly toward long-term growth and IPO readiness. Join us as we define the future of SaaS security! About the Role We're hiring a Lead Analytics Engineer to be the senior technical owner of Obsidian's 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 Snowflake, Redshift, or Databricks transferable
Applying for this Lead Analytics Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Greenhouse
- Create a Greenhouse profile before applying — it saves time across multiple applications.
- Upload your resume as a PDF; the parser handles it better than Word.
- Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
- Enable email notifications to track application status in real time.
ANONYMOUS · UNFILTERED
What do employees actually say about Obsidian Security?
Real rants from real employees. Read before you apply.