Senior Data Operations Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 10h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 13d ago
The date the source published, not the day we noticed it (2026-09-28). Last seen at its source 2h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $167.5k–231.5k/yr
Middle 50% of 2263 listings that do state pay — Engineering · Senior · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Workable employer's own board first seen 10h ago · last seen 2h ago
The listing
Anvilogic 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.
Anvilogic raised $45M Series C funding in April 2024 and is backed by top-tier VC firms and prominent industry executives. Anvilogic’s AI-powered Multi-Data Platform SIEM is used by many of the industry’s most advanced security teams.
Learn about our customers: anvilogic.com/customers
Role Description
As a Senior Data Operations Engineer at Anvilogic, you are responsible for the health, performance, and cost of the Snowflake accounts that Anvilogic 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 Anvilogic application installation
- Monitor the health and cost of Anvilogic-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 Anvilogic 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