Data Platform Engineering Manager

How you’ll make an impact: 

As the Manager of Data Platform Engineering, you will lead the platforms that power our data and analytics capabilities, with Snowflake at the center. This is a hands-on leadership role. You will lead a small team while personally designing, automating, operating, and troubleshooting critical platform components. You will own Snowflake architecture and operations across security, governance, administration, reliability, performance, and cost, while providing operational oversight for PostgreSQL. 

Own and Evolve the Data Platform 

• Own Snowflake architecture, roadmap, administration, and engineering standards. 
• Configure and operate Snowflake compute, storage, networking, integrations, and platform services. 
• Create reusable patterns, automation, and guardrails that enable teams to deliver safely and efficiently. 
• Oversee AWS RDS PostgreSQL configuration, security, backup, and recovery for product applications. 

Strengthen Security, Governance, and Access 

• Design and automate least-privilege security and access controls, including RBAC, service identities, credentials, privileged access, and the access lifecycle. 
• Improve access-management tools, including Satori and internal solutions. 
• Partner with Security and Infrastructure to align Snowflake and PostgreSQL with enterprise requirements. 
• Improve auditability of platform access, administrative activity, and policy compliance. 

Drive Performance and Cost Efficiency 

• Own Snowflake performance and cost management, optimizing warehouse sizing, workloads, concurrency, storage, and configuration. 
• Diagnose complex query and workload performance issues with engineering teams. 
• Implement monitoring, alerting, resource controls, cost attribution, and platform health metrics. 

Build Automation and Engineering Practices 

• Use Infrastructure as Code, including Terraform, to make platform configuration repeatable, reviewable, and auditable. 
• Build automation with SQL, Python, and APIs to reduce manual administration and improve reliability and self-service. 
• Maintain Git-based CI/CD practices for platform configuration and deployment. 
• Establish practical standards for dbt and related data-platform technologies. 
• Maintain operational tooling, documentation, and runbooks. 

Lead While Staying Hands-On