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Tech Stack
Tools & technologiesAirflowAWSCloudGoogle Cloud Platform
About the role
Key responsibilities & impact- Lead and develop two Director-level managers and their respective teams spanning data platform engineering, data pipeline development, and practitioner enablement.
- Set the multi-quarter roadmap for the Enterprise Data Platform and Engineering organizations, balancing infrastructure modernization, operational stability, security, and enablement priorities.
- Build a high-performance engineering culture grounded in ownership, accountability, and operational excellence.
- Drive headcount planning, organizational design, and career development frameworks that attract and retain top talent across a distributed team.
- Serve as a trusted partner to the VP of Engineering & Innovation, contributing to broader engineering strategy and organizational decisions.
- Establish clear prioritization frameworks to manage competing demands from security, infrastructure modernization, platform stability, and practitioner tooling.
- Own the strategic direction for ZoomInfo's core data infrastructure, including Snowflake, Airflow, Fivetran, AWS, and GCP.
- Guide the design and buildout of an Iceberg-based GCS Data Lake as the foundation for scalable, cost-efficient storage, including governance, observability, and ingestion patterns.
- Oversee cloud infrastructure consolidation to GCP, including Airflow 3.x upgrades, service migrations, and deprecation of legacy environments.
- Drive SaaS vendor strategy and cost optimization — evaluating build-vs-buy decisions for ingestion (Fivetran/Airbyte), cost management, and other platform tooling.
- Oversee monorepo consolidation and CI/CD standardization to enable consistent governance and accelerate deployment velocity.
- Ensure the platform team maintains a strong security posture including service account modernization, key rotation, legacy role decommissioning, access reviews, and incident response readiness.
- Oversee the development, reliability, and monitoring of all enterprise data pipelines powering analytics, reporting, and operational workflows.
- Guide the evolution of data modeling practices through dbt and semantic models, ensuring data products are trusted, documented, and well-tested.
- Champion the shift-left initiative, enabling product and engineering domain teams to own their data assets end-to-end while maintaining quality and standards.
- Support the development of AI-assisted tooling (agents and micro apps) that automate data engineering workflows — from ingestion and modeling to deployment and monitoring.
- Drive platform-wide data standards alignment for metadata, ownership, testing, and documentation.
Requirements
What you’ll need- 10+ years of progressive experience in data engineering, data platform, analytics, or related technical leadership roles, with at least 4 years at the Director level or above.
- Experience leading and scaling data organizations of 15+ people, with a track record of building high-performing teams and developing talent.
- Strong working knowledge of modern data stack technologies including Snowflake, dbt, Airflow, and cloud platforms (AWS and/or GCP).
- Experience driving platform modernization initiatives — whether cloud migrations, tool consolidation, vendor transitions, or infrastructure redesigns.
- Demonstrated ability to manage through managers — setting direction, aligning priorities, and holding leaders accountable for outcomes without micromanaging execution.
- Proven cross-functional partnership skills with business stakeholders (Marketing, Finance, Sales, Product, HR).
- Experience building self-service analytics capabilities and enablement programs that reduce dependency on central engineering teams.
- Strong vendor management experience including contract negotiations, build-vs-buy evaluations, and SaaS cost optimization.
- Excellent communication skills — able to present strategy, trade-offs, and progress to executive leadership in both written and verbal formats.
- Experience operating in fast-paced, high-growth, or transformation environments where priorities shift and adaptability is essential.
Benefits
Comp & perks- Comprehensive benefits
- Holistic mind, body and lifestyle programs designed for overall well-being
ATS Keywords
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Hard Skills & Tools
data engineeringdata platformanalyticsdata pipeline developmentdata modelingcloud migrationsinfrastructure redesignsAI-assisted toolingCI/CD standardizationsecurity posture management
Soft Skills
leadershipteam buildingcross-functional partnershipcommunicationadaptabilitystrategic directionaccountabilityorganizational designcareer developmentoperational excellence