Note: The job is a remote job and is open to candidates in USA. Anvilogic is an AI cybersecurity company focused on threat detection and hunting across hybrid, multi-cloud environments and security data lakes. The Senior Data Operations Engineer will manage the health, performance, reliability, and cost of customer Snowflake environments, onboard customers, optimize data platforms, support Snowflake and Databricks operations, and handle escalations and incidents.
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
Skills
- 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
- 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
- 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
Company Overview
Company H1B Sponsorship