Data Operations Engineer

SonderMind • Denver, CO

2d

About The Position

As a Data Operations Engineer, you are at the heart of SonderMind’s data rebuild — helping us move from a fragmented, reactive data environment to one that is stable, governed, and built for AI-first consumption. In this role, your core focus is the reliability and performance of our Snowflake Business environment. You’ll monitor and optimize Snowflake compute, manage resource usage, and make sure our core data assets are consistently available and fresh. You’ll work closely with our Data Engineering team to understand the data in Iceberg and with our Analytics Engineers on schema design, RBAC modeling, and dbt transformation logic, bringing a reliability and performance perspective to a team that genuinely values that lens. SonderMind moves fast and priorities evolve — you’ll thrive here if you’re someone who adapts quickly and sees a shifting landscape as an opportunity rather than an obstacle. You’ll collaborate day-to-day with AI Semantic Engineers who are building Snowflake Cortex-powered interfaces, meaning the work you do directly shapes how the broader organization accesses and understands its data.

Requirements

• Extensive experience building and managing Snowflake environments, including advanced knowledge of task management, clustering, and security models.
• Treat data pipelines as production software. Obsessed with monitoring, alerting, and building self-healing systems.
• Expert-level SQL and deep experience with dbt. Understand how to translate raw tables into clean, performant, and governed models.
• Ability to navigate the world of raw ingestion and table formats (Iceberg) while understanding the business-critical needs of analytics and AI.
• 6+ years of experience in Data Engineering, with a proven track record of owning and stabilizing complex data environments.
• B.S. or M.S. in Computer Science, Software Engineering, or a related field (or equivalent professional experience).

Responsibilities

• Own the execution and monitoring of data pipelines moving from the Data Engineering Iceberg warehouse into the Snowflake Business environment.
• Architect and build a high-quality staging layer in Snowflake. Implement robust data validation and cleaning processes at the point of entry to ensure downstream reliability.
• Manage Snowflake schemas, roles, and warehouse configurations. Implement a "Least Privilege" RBAC model aligned with Data Governance Team to secure business data while enabling high-velocity access.
• Monitor, troubleshoot, and optimize all downstream data pipelines. Your goal is to eliminate data failures in the refined layers and ensure 99.5% availability for core data assets.
• Continuously audit and tune Snowflake performance. Identify and resolve bottlenecks in data processing to maintain sub-second response times for AI interfaces and dashboards.
• Work side-by-side with Analytics Engineers to optimize dbt transformation logic, ensuring the "Source of Truth" is built on the most efficient and reliable staging tables possible.
• Structure data schemas specifically for AI consumption, ensuring that our AI Agent Analysts have clean, well-indexed, and logically partitioned data to power Snowflake Cortex.
• Partner with the Manager of AI Data Enablement to automate data pipelines for external partners and payors.

Benefits

• Generous PTO policy, with a minimum of three weeks off per year
• Holiday schedule that follows standard U.S. holidays
• Free therapy coverage benefits
• Competitive Medical, Dental, and Vision coverage, with plans to meet every need — including HSA (with $1,100 company contribution) and FSA options
• Employer-paid short-term disability, long-term disability, life & AD&D, plus coverage of the salary difference for up to seven weeks of short-term disability leave (after the required waiting period)
• Eight weeks of paid Parental Leave
• 401(k) retirement plan with 100% match on up to 4% of base salary, immediately vested
• Annual company gathering
• Company shutdown between Christmas and New Year’s
• Supplemental life insurance, pet insurance, commuter benefits, and more

What This Job Offers

• Job Type: Full-time
• Career Level: Senior