Senior Data Operations Engineer
Company shown to members 🔒 · Remote · US only
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First recorded by Psst: 12 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.
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The 20-second read
- Experience
- 4+ years required
- Where you can live
- US only
- Skills and tools
- sql, python, aws, gcp, azure, terraform
- Job type
- Full-time
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Job details
- Where you can work
- United States
- Employment type
- Full-time
- Advertised pay
- Not stated by the employer
- Experience
- 4+ years required
- Employer publication date
- 16 October 2026
- First recorded by Psst
- 12 October 2026
- Last checked at the source
- 8 November 2026
About the job
The company is a Palo Alto-based AI cybersecurity startup founded in 2019 by security veterans and data scientists from Fortune 500 companies.
Our mission is to democratize threat detection and hunting for today’s SOC teams to easily be done across hybrid, multi-clouds and security data lakes without needing to centralize data or rip and replace tools. Further, with our investments in AI-powered automation of detection-as-code to create, test, tune and deploy detections, SOC users can implement high-efficacy detection and hunting techniques without writing a single line of code nor manually wrangling data.
The company raised $45M Series C funding in April 2024 and is backed by top-tier VC firms and prominent industry executives. The company’s AI-powered Multi-Data Platform SIEM is used by many of the industry’s most advanced security teams.
Learn about our customers: the company.com/customers
Role Description
As a Senior Data Operations Engineer at the company, you are responsible for the health, performance, and cost of the Snowflake accounts that the company runs on behalf of our customers. You will onboard new customers, monitor and optimize their environments, and serve as the expert escalation point when our Customer Success and Sales Engineering teams need deep data platform support. You will also advise customers who run their own Snowflake and Databricks environments. These production environments support some of the most advanced security teams in the industry, so reliability and cost efficiency are core to everything you do.
Role Responsibilities
- Onboard customers end to end, including account and warehouse setup, roles and permissions, data source ingestion, and the company application installation
- Monitor the health and cost of the company-managed Snowflake accounts and address issues before they impact customers
- Optimize queries, data formats, and task plans for reliability, performance, and cost
- Identify and eliminate waste, such as unused tasks, oversized warehouses, and inefficient queries
- Produce cost reporting and optimization recommendations for internal teams and customers
- Serve as the escalation point for Customer Success and Sales Engineering on complex Snowflake and Databricks issues
- Advise customers operating their own Snowflake and Databricks environments
- Participate in on-call rotation and incident response
- Automate operational work using Python and Terraform
- Spread knowledge of data operations and cost best practices throughout the company through documentation and brown bag sessions
Requirements
Minimum Qualifications
- 4+ years of experience in data operations, data engineering, or database administration
- 2+ years of experience running Snowflake at scale in production
- Advanced SQL skills and demonstrated experience with query performance optimization
- Experience managing and optimizing Snowflake cost, including warehouse sizing, resource monitors, and credit usage
- Working familiarity with Python and Terraform
- Experience with on-call rotations and production incident response
- Excellent written and verbal communication skills
Preferred Qualifications
- Experience operating Databricks environments
- Familiarity with security data (e.g., endpoint and network logs)
- Experience with observability technologies like Grafana and Sentry
- Experience with cloud providers such as AWS, GCP, or Azure
- Experience advising customers or internal teams on data platform best practices
Benefits
- Competitive salary with equity in the company
- Comprehensive medical, dental, and vision insurance
- Unlimited paid time off policy for work life balance
- 401(k) retirement plan with company match
- Monthly stipend for home internet and cell phone expenses
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