Data Platform Operations Engineer

Double Good • Chicago, IL

106d • $100,000 - $140,000

About The Position

Double Good’s mission is to create joy. We create joy with our delectable and award-winning popcorn. We create joy with our easy-to-use fundraising platform that raises a meaningful amount of money for youth sports and activities, empowering kids to pursue their dreams. We create joy through our Kids Foundation which hosts Double Good Days events across the country to bring all-ability fun to children with special needs and their families. As featured on the Today Show, Double Good is not just about the product; we have a strong social mission. In recent years, Double Good has seen 40% year over year growth, and we’re excited about our future! We are building a best-in-class data platform to support our exciting future, and we are looking for a Data Platform Operations Engineer to join our team as we scale our modern data stack.

Requirements

• 5+ years in a DataOps, DevOps, Data Engineering, or Database Administration role in cloud data environments.
• Hands-on experience administering Snowflake, including security, performance tuning, cost management, and automation.
• Strong expertise with Fivetran setup, management, and incident troubleshooting.
• Proficiency in dbt for ETL development, testing, and orchestration.
• Advanced SQL skills for troubleshooting, diagnostics, and optimization.
• Proficient with version control (Git) and experience designing/deploying data pipelines in a collaborative environment.
• Scripting skills (Python, Bash, etc.) for workflow automation, data operations tasks, and deployment pipelines.
• Experience with cloud platforms (AWS/Azure); knowledge of core services such as IAM, data storage, and data transfer.
• Strong understanding of platform reliability, monitoring, and observability (alerting, dashboarding, log analysis).
• Comfortable with Infrastructure as Code concepts and tools (Terraform).
• Experience working with business and analytics teams to translate ops support needs into scalable technical solutions.

Nice To Haves

• Experience with Titan and Datacoves.

Responsibilities

• Own the administration, monitoring, configuration, and optimization of our Snowflake data warehouse.
• Implement and automate user/role management, resource monitoring, scaling strategies, and security policies.
• Configure, monitor, and troubleshoot Fivetran pipelines for seamless ingestion from SaaS applications, ERPs, and operational databases.
• Resolve connector failures and optimize sync performance and cost.
• Build/improve CI/CD workflows using Git and other automation tools for data pipeline deployment, testing, and monitoring.
• Implement and maintain infrastructure using tools like Terraform and Titan to ensure consistent, repeatable, and auditable environments.
• Implement automated checks and alerting across Snowflake, Fivetran, and dbt processes to ensure platform uptime, data freshness, and SLA compliance.
• Proactively identify and resolve platform issues and performance bottlenecks.
• Monitor and optimize database usage (queries, compute, storage) for speed and cost-effectiveness.
• Partner with data engineers and analysts to optimize SQL and refine warehouse utilization.
• Enforce security best practices across the data platform (access controls, encryption, data masking).
• Support audits and compliance requirements (e.g., SOC2).
• Build and automate data health and quality checks (using dbt tests and/or custom monitors).
• Rapidly triage and resolve data pipeline incidents with root cause analyses.
• Ensure all operational procedures (runbooks, escalation paths, knowledge base) and infrastructure documentation are accurate, up-to-date, and easily accessible.
• Partner with Data Architects, Data Engineers, and DevOps Engineers to understand data flow requirements, troubleshoot issues, and continuously enhance platform capabilities.

Benefits

• Medical, dental and vision coverage with plans that can fit each teammate’s needs.
• Immediate vesting in our 401k plan.
• Paid time off.
• Company-paid leaves.
• Popcorn Allowance (yup, free popcorn!).

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 11-50 employees