ZoomInfo - Senior Director, Data Platform & Engineering

Remote - USA$231k - $363k+ Equity3w ago

Requirements

• 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). You do not need to be the deepest technical expert — but you need to understand architecture trade-offs, ask the right questions, and make informed strategic decisions. • 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) — translating ambiguous business needs into structured data solutions. • 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. • Familiarity with infrastructure-as-code practices (Terraform), CI/CD pipelines, and monorepo strategies. • Experience with data lake architectures (Iceberg, Parquet) and multi-cloud environments. • Exposure to data ingestion frameworks at scale (Fivetran, Airbyte, custom connectors) and reverse ETL patterns. • Familiarity with AI/ML-driven automation for data engineering workflows, including LLM-assisted tooling, agents, or semantic modeling frameworks. • Background in security and compliance within data environments — RBAC, key rotation, masking, HIPAA, or SOC2. • Experience with data cataloging and lineage tools (OpenMetadata, DataHub, or similar). • Experience with shift-left or data mesh operating models where domain teams own their data end-to-end. • Exposure to BI platform management and modernization (Looker, Tableau, or emerging AI-driven visualization approaches). • What Sets You Apart • What Sets You Apart • You lead through people. Your strongest technical asset is your ability to hire, develop, and empower exceptional leaders — and then get out of their way. • You connect technology to business outcomes. You see infrastructure investments not as technical projects but as enablers of speed, trust, and better decisions across the company. • You are a systems thinker. You see the connections between platform architecture, team structure, process design, and stakeholder experience — and you optimize across all four. • You are decisive under ambiguity. Competing priorities, legacy systems, organizational change, and imperfect information don't paralyze you — they sharpen your focus. • You balance vision with pragmatism. You can articulate a bold multi-year direction and then break it into quarterly deliverables your teams can execute with confidence. • You build bridges. Engineering, analytics, security, and business teams all see you as someone who understands their world and advocates for shared outcomes. • How We Work • Be Relentless. We outpace and outcompete. We are smart, clever, and resourceful in everything we do. • Be Entrepreneurs. We hustle, move fast, take ownership, and make decisions. We are accountable and resilient. • Be Experts. We understand our customers deeply and demand domain expertise from everyone. • Be Innovators. We innovate not just in product, but in how we operate — driving outcomes no one thought were possible. • Be a Team. We are one team, working together to win. We collaborate and lean in to help each other. • #LI-JH1 #LI-Remote • Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. • In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here. • Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. • $231,000—$363,000 USD • ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. • ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. • ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.

Responsibilities

• Strategic Leadership & Team Development: • 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. • Platform Strategy & Infrastructure Modernization: • Own the strategic direction for ZoomInfo's core data infrastructure, including Snowflake, Airflow, Fivetran, AWS, and GCP — partnering with the Director of Data Platform on architecture and execution. • 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. • Data Engineering & Pipeline Operations • Oversee the development, reliability, and monitoring of all enterprise data pipelines powering analytics, reporting, and operational workflows — partnering with the Director of Data Engineering on execution and quality. • 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 — ensuring remediation of priority assets and retirement of low-value ones. • Oversee the buildout of centralized observability for certified metrics, including compliance monitoring, alerting, and automated routing of quality failures to asset owners. • Cross-Functional Partnership & Enablement: • Serve as the primary data infrastructure and engineering point of contact for leaders across Marketing, Finance, Product, Sales, and HR — translating business needs into platform capabilities. • Partner with cross-functional stakeholders to define metrics, analytics requirements, and data delivery expectations that inform business strategy. • Drive enablement programs — documentation, training, office hours, and onboarding — to accelerate adoption of self-service data tools and standards across the organization. • Represent the data platform and engineering organization in strategic planning conversations, company projects, and technology decisions that have data implications. • Manage vendor relationships and contracts, negotiating strategically to optimize cost, capability, and long-term flexibility.