Senior Data Operations Engineer

Anvilogic

. Onboard customers end to end, including account and warehouse setup, roles and permissions, data source ingestion, and Anvilogic application installation .

Posted 9/29/2026full-timeRemote • United StatesSenior💰 $155,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data operations and engineering, with a strong focus on optimizing Snowflake and Databricks environments for performance and cost efficiency. Proficient in automating processes using Python and Terraform while effectively communicating best practices to customers and internal teams.

Highest-signal resume keywords

Snowflake ManagementData OperationsSQL Query OptimizationPython AutomationDatabricks Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringDatabase AdministrationSQLCost OptimizationQuery Performance OptimizationPythonTerraformIncident ResponseObservability TechnologiesSecurity Data Familiarity

Soft Skills

Excellent Communication Skills

Tools & Technologies

SnowflakeDatabricksGrafanaSentryAWSGCPAzure

Industry Keywords

Data OperationsData Platform Best PracticesCost ReportingResource MonitorsCloud Providers

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformGrafanaPythonSQLTerraform

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Comp & perks

Competitive salary with 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