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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!

We're looking for a Senior Software Engineer to join our growing Data team. In this role, you’ll lead the end-to-end development of new integrations into our platform — powering the insights that help secure our customers’ most critical SaaS environments.

About The Role

As a Senior Data Engineer, you’ll:

• Build robust, scalable connectors to SaaS platforms (e.g., Microsoft 365, Workday, Salesforce) to extract data on users, roles, permissions, and configuration
• Design and maintain data pipelines that normalize and transform raw SaaS data into our unified security posture model
• Collaborate with platform and security engineers to shape how we build, deploy, and scale integrations across hundreds of enterprise SaaS platforms.
• Debug and improve production data pipelines, resolving discrepancies and improving performance, accuracy, and resilience
  
  

• Have immediate impact — your work directly improves how some of the world’s top companies secure their SaaS estates
• Silicon Valley meets Manchester — experience the pace and excitement of the Valley whilst remaining UK based.
• Advance your SaaS security expertise — gain hands-on experience with identity models, access permissions, and posture assessment across platforms like Microsoft 365, Okta, and Salesforce
  
  

• Minimum 4 years in data-focused software engineering role
• Highly experienced in using Python and SQL for data retrieval, transformation, and analysis
• Demonstrated experience extracting and normalizing data from different types of APIs, including complex/non-standard authentication flows
• Strong debugging skills for production data pipelines, including data discrepancies, edge cases, and performance issues
• Comfortable working with and transforming nested, semi-structured formats such as JSON, XML, and CSV into analysis-ready outputs
  
  

• Hands-on experience with APIs from major SaaS platforms (e.g., Office 365, Salesforce, Workday, Oracle, SAP)
• Familiarity with our core data stack: DuckDB, Dagster, Postgres, Kafka, DBT, EKS, and Databricks
• Understanding of Identity and Access Management (IAM) concepts and APIs from providers like Okta, Entra ID, Ping
• Exposure to AI-enhanced low-code tools like Microsoft Copilot or Salesforce Agentforce
  
  

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Computer and Network Security

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