Data Foundations Engineer

What you can expect

You will architect our data platform's foundation from ingestion to semantic layer. You'll partner with business and AI teams to design production-grade, self-service data systems. Your work directly enables reliable analytics at scale and deterministic LLM querying

About the Team

We build the core data infrastructure powering analytics and AI across the organization. Our team operates at the intersection of systems engineering, domain modeling, and client delivery. We prioritize long-term technical health alongside rapid iteration.

Responsibilities

• Designing and building scalable, fault-tolerant data pipelines that transform raw source data into trusted, well-documented datasets across batch and streaming patterns.

• Owning data quality and observability end-to-end — implementing monitoring, alerting, testing, and documentation for all pipelines and models.

• Building and evolving the semantic and metric layer, establishing context and guardrails that let both human analysts and AI agents query data reliably.

• Architecting well-modeled datasets applying dimensional modeling, Data Vault, or One Big Table principles with sound grain definition and key strategy.

• Engineering enterprise-scale data solutions leveraging Generative AI frameworks (Codex, Claude Code, Snowflake Cortex) to accelerate development and intelligent analytics.

What we’re looking for

• Have 6+ years of software engineering experience (or equivalent practical experience) with substantial focus on data architecture or system design.

• Demonstrate proven ability to architect or design complex data models (grain selection, key strategy, schema design) and scale data platforms in multi-tenant environments.

• Show fluency in Python, Java, or Scala with solid software engineering fundamentals.

• Possess deep expertise in data modeling paradigms: dimensional modeling, Data Vault, or One Big Table.

• Partner directly with business teams, product leaders, or external clients to translate ambiguous requirements into technical solutions.

• Have experience with batch and streaming pipeline architectures including multi-region replication

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.

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