Senior Data Operations Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Facilitate the complete onboarding process for customers, which includes setting up accounts and warehouses, defining roles and permissions, ingesting data sources, and installing the Anvilogic application.

• Oversee the health and cost efficiency of Anvilogic-managed Snowflake accounts, proactively addressing any issues that may affect customers.

• Enhance queries, data formats, and task plans to ensure reliability, boost performance, and manage costs effectively.

• Detect and eliminate inefficiencies, such as unused tasks, oversized warehouses, and suboptimal queries.

• Generate cost reports and provide optimization recommendations for both internal teams and customers.

• Act as the primary escalation contact for Customer Success and Sales Engineering regarding complex Snowflake and Databricks challenges.

• Provide guidance to customers managing their own Snowflake and Databricks environments.

• Engage in on-call rotation and respond to incidents as needed.

• Automate operational tasks utilizing Python and Terraform.

• Share knowledge on data operations and cost-effective practices throughout Anvilogic through documentation and informal training sessions.

⛳️ Requirements

• A minimum of 4 years of experience in data operations, data engineering, or database administration.

• At least 2 years of experience managing Snowflake at scale in a production environment.

• Proficient SQL skills with proven experience in optimizing query performance.

• Background in managing and optimizing Snowflake costs, including warehouse sizing, resource monitoring, and credit usage.

• Familiarity with Python and Terraform.

• Experience with on-call rotations and handling production incident responses.

• Strong written and verbal communication abilities.

• Experience in operating Databricks environments.

• Knowledge of security data, such as endpoint and network logs.

• Experience with observability tools like Grafana and Sentry.

• Familiarity with cloud service providers such as AWS, GCP, or Azure.

• Experience providing guidance to customers or internal teams on best practices for data platforms.

🏝️ Benefits

• Competitive salary along with equity in the company.

• Comprehensive medical, dental, and vision insurance coverage.

• Unlimited paid time off policy to promote work-life balance.

• 401(k) retirement plan with company matching contributions.

• Monthly stipend for home internet and mobile phone expenses.