Senior Manager, Data Platform Engineering

Procore; New Delhi; Sur place; INR 4 000 000 - 9 000 000; Plein temps

Résumé du poste

Procore is seeking a Senior Manager, Enterprise Data Platform to lead the Enterprise Data Engineering team. You will own the infrastructure, operations, DevOps, and governance of our data platform, spanning Snowflake, Databricks, AWS, Airflow, dbt, Fivetran, Census, and Tableau.

Based in Bengaluru, you will build a high‑performing team, enable self‑service data capabilities for engineers and analysts, and partner with global teams to align the platform roadmap and security controls.

Qualifications

• 8+ years of experience in data engineering, data platform, or infrastructure engineering.
• 3+ years managing engineering teams.
• Hands-on experience with Snowflake and/or Databricks at enterprise scale.
• Experience with AWS and infrastructure as code (Terraform) and CI/CD tooling (GitHub Actions).

Responsabilités

• Own the infrastructure, operations, and reliability of the enterprise data platform with clear SLAs and incident management.
• Lead data DevOps practices including CI/CD pipelines and infrastructure as code.
• Build platform tools and self-service capabilities for engineers to build pipelines and adopt AI features.
• Own platform cost management (FinOps) and license management, including usage monitoring and optimization.
• Implement security and governance controls in partnership with Security, Legal, and Enterprise Data Architect.
• Establish follow-the-sun support with on-call rotations and escalation paths.
• Hire and grow a high-performing data platform team and define clear career paths.
• Partner across data engineering, analytics, enterprise systems, and business teams to drive the platform roadmap.

Connaissances

Data engineering

Team leadership

Stakeholder communication

Outils

Snowflake

Databricks

AWS

Airflow

dbt

Fivetran

Census

Tableau

Terraform

GitHub Actions

Description du poste

Were looking for a Senior Manager, Enterprise Data Platform to join Procores Enterprise Data Engineering team. In this role, youll build and lead the team that runs the foundation of Procores enterprise data ecosystem, making sure the platform is reliable, secure, cost-efficient, and easy for engineers, analysts, and business stakeholders to use. Your teams work will directly determine how quickly the business can get from data to decisions, including the AI capabilities built on top of the platform.

As a Senior Manager, Enterprise Data Platform, youll own the infrastructure, operations, DevOps, and governance of our data platform, spanning Snowflake, Databricks, AWS, Airflow, dbt, Fivetran, Census, and Tableau. Youll grow a high-performing team in Bengaluru, build the tools and frameworks that make other teams more productive, and provide platform support across global time zones in partnership with our US-based teams.

This position reports to the Director, Enterprise Data Engineering and will be based in our Bengaluru, Karn taka office.

What youll do

• Own the infrastructure, operations, and reliability of Procores 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

What were looking for

• 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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.