Senior Data Operations Engineer
New
A
AnvilogicCybersecurity data platforms
United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 4+ years of experience in data operations, data engineering, or database administration; 2+ years of experience running Snowflake at scale in production
- Required Skills
- AWSPythonSQLSnowflakeGrafanaTerraformDatabricks
Requirements
- Have 4+ years of experience in data operations, data engineering, or database administration.
- Have 2+ years of experience running Snowflake at scale in production.
- Demonstrate advanced SQL skills and experience optimizing query performance.
- Have experience managing and optimizing Snowflake costs, including warehouse sizing, resource monitors, and credit usage.
- Have working familiarity with Python and Terraform.
- Have experience with on-call rotations and production incident response.
- Preferred: experience operating Databricks environments.
- Preferred: familiarity with security data, such as endpoint and network logs.
- Preferred: familiarity with observability technologies such as Grafana and Sentry.
- Preferred: experience with cloud providers such as AWS, GCP, or Azure.
- Preferred: experience advising customers or internal teams on data platform best practices.
Responsibilities
- Onboard customers end to end, including account and warehouse setup, roles and permissions, data source ingestion, and application installation.
- Monitor the health and cost of Anvilogic-managed Snowflake accounts and address issues before they affect customers.
- Optimize queries, data formats, and task plans for reliability, performance, and cost.
- Identify and eliminate waste, including 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 rotations and incident response.
- Automate operational work using Python and Terraform.
- Document data operations and cost best practices and share knowledge through brown bag sessions.
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