Head of Data Engineering & Analytics

Company: Zoom
Location: San Jose
Posted on: April 1, 2026

Job Description:

What you can expect You will build and scale the data foundation that powers Zoom's AI capabilities and business operations. By defining enterprise data strategy and leading a global team, you will enable trusted insights and innovation. This role offers the opportunity to shape how a $10B company leverages data to drive growth. About the Team We deliver enterprise data platforms, analytics, and AI capabilities across Zoom. Our team partners with Product, Engineering, Finance, and Sales to enable data-driven decisions. We exist to transform data into actionable insights that fuel business growth. Responsibilities Defining and executing enterprise data strategy, platform architecture, and AI enablement roadmaps aligned with business goals Leading a global organization of 60 data engineers, machine learning engineers, scientists, analysts, and architects across the US and India Building scalable data pipelines, governance frameworks, and analytics solutions that serve as the single source of truth Partnering with Finance, Marketing, Sales, Product, and Engineering leaders to deliver insights, dashboards, and data products Enabling self-service analytics and AI/ML use cases through accessible, trusted, and secure data platforms What we’re looking for Demonstrate 15 years of experience in data engineering, analytics, and data science, or equivalent practical experience Lead teams of 50 people in senior leadership roles, building cultures of collaboration and continuous learning Create Architect modern cloud-based data platforms using Snowflake, AWS, and data pipeline technologies Build data foundations that support AI and machine learning initiatives at enterprise scale Translate business needs into technical solutions and influence both technical and non-technical stakeholders Apply expertise in data governance, master data management, security, and compliance frameworks Use tools such as DBT, Airflow, Kafka, Databricks, FiveTran, and data quality platforms Work with AI/ML platforms including LLMs, vector databases, and MLOps tools Apply deep, hands-on experience with Snowflake and modern data pipeline technologies Display hands-on experience with Snowflake and modern data pipeline technologies (required), including cloud platforms (AWS), CI/CD, DevOps/DataOps, and enterprise integrations Apply Expertise across the modern data stack: Cloud databases (Snowflake, Databricks, Mongo), transformation tools (DBT, Airflow), ingestion platforms (FiveTran, Stitch, Snowpipe, Kafka, Apache Pulsar, AWS Kinesis/Firehose), orchestration (Airflow, Dagster), observability (Great Expectations, BigEye), and governance (Alation, Monte Carlo, Atlan) Demonstrate experience building data foundations to support AI/ML initiatives, including platforms like Databricks, Snowflake AI/ML (Cortex), ML Flow, LLM-based protocols and patterns (RAG/Agentic/MCP/A2A), and vector databases (Pinecone, FAISS). Demonstrate ability to establish operational excellence frameworks including SLAs/SLIs, end-to-end observability, cost optimization, and key operational metrics tracking Salary Range or On Target Earnings: Minimum: $171,800.00 Maximum: $375,900.00 In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value. Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience. We also have a location based compensation structure; there may be a different range for candidates in this and other locations At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application! Anticipated Position Close Date: 04/17/26 Ways of Working Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting. Benefits As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information. About Us Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment. Our Commitment? At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step. If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.

Keywords: Zoom, Novato , Head of Data Engineering & Analytics, IT / Software / Systems , San Jose, California