Manager, Data Platform

ZoomInfo is seeking an experienced Manager, Data Platform to lead the strategy, architecture, and execution of their modern data platform. This role combines hands-on technical leadership with people management, overseeing a team of data platform engineers while driving technical direction and platform reliability.

Key Responsibilities:

• Define and evolve the vision, roadmap, and technical strategy for the data platform
• Own architectural decisions across ingestion, transformation, orchestration, storage, serving, governance, and observability
• Establish engineering standards and patterns for pipelines, data contracts, infrastructure, and deployment
• Evaluate technologies, vendors, and architectural approaches in partnership with stakeholders
• Manage, mentor, and develop a team of data platform engineers
• Set clear expectations around technical execution, ownership, collaboration, and operational excellence
• Support career growth through regular feedback, coaching, and performance management
• Participate in hiring, onboarding, interviewing, and team capacity planning
• Partner with leadership to define team structure, priorities, and long-term capability needs

Requirements:

• 8+ years of experience in data engineering, data platforms, or data architecture
• 2+ years of experience managing, mentoring, or leading data engineering teams
• Demonstrated experience designing and operating production-grade data platforms and cloud architectures
• Strong experience with data orchestration, transformation frameworks, and pipeline development
• Strong understanding of data security, access controls, governance, and data contracts
• Proven ability to balance hands-on technical contribution with people leadership
• Excellent written and verbal communication skills

Preferred Qualifications:

• Experience with AWS services (Redshift, S3, IAM, EKS, Glue, ECR, DMS)
• Experience with Python, SQL, Airflow, dbt, and Infrastructure as Code (IaC)
• Experience supporting machine learning platforms, LLM/AI access, or production ML services
• Experience building or managing data contracts, semantic layers, or data interfaces