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Senior Director, Data Platform & Engineering

1 hour ago
United States
Full-time
Executive
Data Architect
DevOps and Infrastructure
Agile Apache Airflow AWS CI/CD dbt GCP HIPAA LLM Looker Microservices Snowflake Tableau Terraform
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ZoomInfo

ZoomInfo

ZoomInfo provides a comprehensive B2B database that offers accurate and actionable contact and company intelligence, enabling sales and marketing teams to enhance their campaigns and improve prospecting efforts through access to direct dial phone numbe...

Professional Services
1K-5K
Founded 2000
View All Jobs 19

Description

  • Lead and develop two Director-level managers and their teams across data platform engineering, pipeline development, and practitioner enablement.
  • Set the multi-quarter roadmap for the enterprise data platform and engineering organizations, balancing modernization, stability, security, and enablement.
  • Build a high-performance engineering culture grounded in ownership, accountability, and operational excellence.
  • Drive headcount planning, organizational design, and career development frameworks for a distributed team.
  • Own the strategic direction for core data infrastructure, including Snowflake, Airflow, Fivetran, AWS, and GCP.
  • Guide the design and buildout of an Iceberg-based GCS data lake with governance, observability, and ingestion patterns.
  • Oversee cloud infrastructure consolidation to GCP, including Airflow 3.x upgrades, service migrations, and legacy deprecations.
  • Drive SaaS vendor strategy and cost optimization through build-vs-buy evaluations and contract management.
  • Oversee the development, reliability, and monitoring of enterprise data pipelines supporting analytics, reporting, and operational workflows.
  • Guide data modeling practices through dbt and semantic models so data products are trusted, documented, and well-tested.
  • Champion shift-left enablement so domain teams can own their data assets end to end while maintaining quality standards.
  • Oversee centralized observability, compliance monitoring, alerting, and automated routing of quality failures to asset owners.
  • Serve as the primary data infrastructure and engineering contact for leaders across Marketing, Finance, Product, Sales, HR, and Customer Success.
  • Drive enablement programs such as documentation, training, office hours, and onboarding to increase self-service adoption.

Requirements

  • 10+ years of progressive experience in data engineering, data platform, analytics, or related technical leadership roles.
  • At least 4 years of experience at the Director level or above.
  • Experience leading and scaling data organizations of 15+ people.
  • Strong working knowledge of Snowflake, dbt, Airflow, and AWS and/or GCP.
  • Experience driving platform modernization initiatives such as cloud migrations, tool consolidation, vendor transitions, or infrastructure redesigns.
  • Demonstrated ability to manage through managers and hold leaders accountable for outcomes.
  • Proven cross-functional partnership skills with business stakeholders across Marketing, Finance, Sales, Product, and HR.
  • Experience building self-service analytics capabilities and enablement programs.
  • Strong vendor management experience, including contract negotiations, build-vs-buy evaluations, and SaaS cost optimization.
  • Excellent written and verbal communication skills for executive-level strategy and progress updates.
  • Experience operating in fast-paced, high-growth, or transformation environments.
  • Familiarity with Terraform, CI/CD pipelines, and monorepo strategies.
  • Experience with data lake architectures such as Iceberg and Parquet, and multi-cloud environments.
  • Exposure to data ingestion frameworks such as Fivetran, Airbyte, custom connectors, or reverse ETL patterns.
  • Familiarity with AI/ML-driven automation for data engineering workflows, including LLM-assisted tooling or agents.
  • Background in security and compliance within data environments, such as RBAC, key rotation, masking, HIPAA, or SOC2.
  • Experience with data cataloging and lineage tools such as OpenMetadata or DataHub.
  • Experience with shift-left or data mesh operating models.
  • Exposure to BI platform management and modernization, such as Looker or Tableau.

Benefits

  • US base salary range of $231,000 to $363,000.
  • Additional compensation may include bonus, commission, equity, and other benefits.
  • Comprehensive benefits package.
  • Holistic mind, body, and lifestyle programs designed for overall well-being.
  • Remote-eligible role (#LI-Remote).
  • Equal opportunity employer with inclusive hiring practices.

Interested in this position?

Apply directly on the company website

Apply Now

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