Senior Manager, Data Platform Engineering

What you'll do

What we're looking for

Qualifications

• 8+ years of experience in data engineering, data platform, or infrastructure engineering, including 3+ years managing engineering teams
• Hands-on experience administering and operating Snowflake and/or Databricks at enterprise scale, including performance tuning, security configuration, and cost optimization
• Strong working knowledge of Fivetran, dbt, Airflow, Census, and Tableau, including how they are deployed, monitored, and supported in production
• Experience with AWS and infrastructure as code (e.g., Terraform), CI/CD tooling (e.g., GitHub Actions), and observability practices for data systems
• Experience running production platforms with defined SLAs, incident management, and on-call support, ideally across multiple time zones
• Experience implementing data security, access control, and governance programs in a compliance-sensitive environment (e.g., SOC 2, GDPR, SOX)
• A track record of hiring, developing, and retaining strong engineers, and building a healthy, high-performing team culture
• Demonstrated ability to work across technical and business teams to build and drive a technical roadmap, with excellent communication skills and comfort working with global, distributed stakeholders

Responsibilities

• Own the infrastructure, operations, and reliability of Procore's enterprise data platform, including Snowflake, Databricks, AWS, Airflow, dbt, Fivetran, Census, and Tableau, with clear SLAs, monitoring, and incident management
• Lead data DevOps practices, including CI/CD pipelines, infrastructure as code, automated testing, and environment management, so teams can ship data changes quickly and safely
• Build platform tools, frameworks, and self-service capabilities that make it easier for engineers and analysts to build pipelines, access data, and adopt AI features on the platform
• Own platform cost management (FinOps), including usage monitoring, chargeback/showback, optimization, and vendor and license management
• Implement security and governance controls, including role-based access, PII handling, audit logging, and compliance requirements, in partnership with Security, Legal, and the Enterprise Data Architect
• Establish a follow-the-sun support model with US-based teams, including on-call rotations, runbooks, and escalation paths
• Hire, retain, and grow a high-performing team of data platform engineers and, as the team scales, engineering managers, with clear career paths, regular feedback, and accountable performance management
• Partner with data engineering, analytics, enterprise systems, and business teams to define and drive the platform roadmap, translating stakeholder needs into priorities and communicating trade-offs clearly
• 8+ years of experience in data engineering, data platform, or infrastructure engineering, including 3+ years managing engineering teams
• Hands-on experience administering and operating Snowflake and/or Databricks at enterprise scale, including performance tuning, security configuration, and cost optimization
• Strong working knowledge of Fivetran, dbt, Airflow, Census, and Tableau, including how they are deployed, monitored, and supported in production
• Experience with AWS and infrastructure as code (e.g., Terraform), CI/CD tooling (e.g., GitHub Actions), and observability practices for data systems
• Experience running production platforms with defined SLAs, incident management, and on-call support, ideally across multiple time zones
• Experience implementing data security, access control, and governance programs in a compliance-sensitive environment (e.g., SOC 2, GDPR, SOX)
• A track record of hiring, developing, and retaining strong engineers, and building a healthy, high-performing team culture
• Demonstrated ability to work across technical and business teams to build and drive a technical roadmap, with excellent communication skills and comfort working with global, distributed stakeholders