Obsidian Security

SaaS security

LeadAnalyticsEngineer

$219–240k Palo Alto, California, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Lead Analytics Engineer at Obsidian Security. Skills: DBT, Data Warehouse, AI Coding Tools. Own DBT project. Own warehouse architecture”

Industry & Context.

SaaS security

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

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