Obsidian Security
SaaS
SeniorSecurityDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Security Data Engineer at Obsidian Security. Skills: Data Engineering, Security, SaaS, AI. Build data retrieval integrations. Connect to APIs”
Industry & Context.
Debug data quality; Debug detection issues
What They're Looking For.
Must Have
4+ years data engineering, Dbt and SQL experience, Build data pipelines, Process high-volume data, Work with REST APIs, Integrate third-party data, Python proficiency, Exposure to security concepts
Nice to Have
Clickhouse or Databricks experience, Familiarity with SaaS platforms, Understanding of identity concepts, Experience with security telemetry, Interest in AI/LLM platforms
What You'll Do.
Build data retrieval integrations
Transform platform data
Build rule-based checks
Identify risky configurations
Identify activity patterns
Translate security insight
Develop understanding of platforms
Inform data collection
Debug data quality issues
Debug detection issues
Work with engineering teams
Work with customer success
How You'll Work.
Team & Collaboration
Wider engineering teams; Customer success teams
Full Job Description
Obsidian Security is the leading SaaS security platform, trusted by global enterprises like Snowflake, T-Mobile, and Algolia. We protect 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. Founded in 2017 and backed by top investors like Greylock, Obsidian was built to close a critical gap: securing SaaS apps where business happens—Microsoft 365, Salesforce, and hundreds more. The company does this by offering a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Obsidian was built by leaders who redefined endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, they’re transforming how SaaS is secured. With AI driving rapid SaaS growth and complexity, agentic AI tools gain privileged access to sensitive data through integrations, creating new risks most security tools miss. Obsidian uniquely detects anomalous OAuth token activity and manages integration risks. Major announcements are on the horizon. Recognizing that SaaS security needs to evolve, Obsidian enables growing organizations to start with a lightweight, prevention-focused browser extension and expand coverage over time. With global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise ahead, Obsidian is scaling rapidly toward long-term growth and IPO readiness. About the Role We're hiring Security Data Engineers to join our Manchester team and work at the heart of our SaaS and AI security platform. This is a data engineering role first — you'll spend most of your time building and maintaining the data pipelines that power Obsidian's detection and analytics capabilities. The role sits at an interesting intersection: the work is technically demanding data engineering, but the context is security. You don't need a security CV —
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