Director, Software Engineering

ZoomInfo is a Go-To-Market Intelligence Platform that empowers businesses with AI-ready insights, trusted data, and advanced automation. The Director of Software Engineering will lead the GTM Store and ZoomInfo Data Platform teams, setting strategy and technical direction for large-scale operational and analytical data infrastructure. The role is responsible for team development, data ingestion, change data capture, reliability, compliance, and cross-functional platform enablement.

Responsibilities:

• Lead and develop a team of senior engineers and tech leads across GTM Store and the ZoomInfo Data Platform
• Set the roadmap across both areas, balancing scaling and performance needs, new data onboarding velocity, compliance obligations, security and platform reliability
• Build a high-performance engineering culture grounded in ownership, technical rigor, and operational excellence for systems operating at large scale
• Manage senior technical individual contributors directly — setting expectations, providing technical guidance, and developing career growth paths for staff-level and senior engineers
• Serve as a trusted partner to the VP of Software Engineering, contributing to broader platform engineering strategy
• Establish clear prioritization frameworks to manage competing demands across scaling, new data onboarding, compliance, and reliability work
• Own the strategy, architecture, and roadmap for the GTM Store — ZoomInfo's core operational data store (BigTable) powering the go-to-market data product
• Drive scaling initiatives to keep pace with data growth and increasing query/read-write demands from downstream products
• Guide architecture decisions to improve performance, latency, and cost-efficiency at scale
• Establish and maintain operational best practices — monitoring, alerting, capacity planning, and incident response — to ensure high availability
• Own the strategy and architecture for change data capture (CDC), ensuring data change events are captured, propagated, and consumed reliably by downstream systems, including the ZoomInfo Data Platform
• Guide the selection and evolution of CDC tooling and patterns to support real-time and near-real-time data change propagation at scale
• Ensure CDC systems maintain data consistency, ordering guarantees, and fault tolerance under high event volume
• Partner with Product and downstream engineering teams to understand data access patterns and evolve the store's schema, APIs, and change event streams accordingly
• Own the strategy, architecture, and roadmap for the ZoomInfo Data Platform — the analytical data store (BigQuery) that consumes and serves data for downstream analytics and product use cases
• Own the architecture and roadmap for data ingestion pipelines, including those consuming CDC streams from the GTM Store, that bring new data sources into the platform
• Drive initiatives to ease and accelerate the onboarding of new data sources, reducing the engineering lift required to integrate each new dataset
• Establish standardized, repeatable ingestion patterns and tooling that shorten time-to-value for new data
• Ensure ingestion pipelines are reliable, observable, and scalable to handle growing data volume and variety
• Own the systems and processes that handle customer data deletion requests, ensuring they are executed accurately, promptly, and in compliance with GDPR, CCPA, and related regulations
• Partner with Legal/Compliance and Product to evolve data deletion workflows as privacy regulations and customer requirements change
• Build observability and auditability into deletion workflows to provide clear evidence of compliance
• Partner with cross-functional stakeholders to define requirements for scaling, new data onboarding, and compliance work that inform the platform roadmap
• Drive enablement programs — documentation and tooling — that help internal teams onboard new data sources faster and with less friction
• Represent the GTM Store and ZoomInfo Data Platform in strategic planning conversations and technology decisions with company-wide implications

Requirements:

• 8+ years of progressive experience in software/platform engineering or data engineering, with experience operating at a senior leadership level
• Experience directly managing senior technical talent — staff engineers, tech leads, or senior ICs — and holding a high technical bar
• Strong working knowledge of large-scale operational (e.g., BigTable) and analytical (e.g., BigQuery) data stores and distributed systems, including experience scaling data infrastructure to handle high volume and throughput
• Experience with data ingestion pipeline architecture and change data capture (CDC) technologies (e.g., Debezium, Kafka Connect, Kafka, or similar streaming/CDC tooling)
• Experience with data privacy and compliance practices, including handling data deletion / right-to-be-forgotten requests under GDPR/CCPA
• Demonstrated ability to balance platform reliability and performance work against feature and onboarding velocity
• Proven cross-functional partnership skills with product and business stakeholders
• Excellent communication skills — able to present strategy, trade-offs, and progress to executive leadership
• Familiarity with Google Cloud Platform (GCP) data infrastructure, including BigTable and BigQuery
• Familiarity with event streaming platforms (Kafka) and workflow/pipeline orchestration tools (Airflow, or similar)
• Experience building self-service tooling that accelerates data onboarding for internal teams