Senior Data Operations Engineer

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