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Anvilogic is a Palo Alto-based AI cybersecurity startup founded in 2019 by security veterans and data scientists from Fortune 500 companies. The company has raised $45M in Series C funding (April 2024) and is backed by top-tier VC firms. Anvilogic's AI-powered Multi-Data Platform SIEM helps advanced security teams perform threat detection and hunting across hybrid, multi-cloud, and security data lakes without centralizing data or replacing existing tools.
As a Senior Data Operations Engineer, you will be responsible for the health, performance, and cost optimization of Snowflake accounts that Anvilogic manages on behalf of customers. You will serve as the expert escalation point for the Customer Success and Sales Engineering teams on complex data platform issues, and advise customers who operate their own Snowflake and Databricks environments.
Key responsibilities include:
- End-to-end customer onboarding: 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 proactively address issues before they impact customers
- Optimize queries, data formats, and task plans for reliability, performance, and cost efficiency
- 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
- Share knowledge of data operations and cost best practices throughout Anvilogic through documentation and brown bag sessions
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.
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
