Data Collaboration Lead

Role Overview

• Own the data collaboration platform: Act as the single-threaded owner for Zeta’s data collaboration product = responsible for stability, scalability, security posture, and long-term evolution across cloud architectures.
• Evolve the architecture beyond its current foundation: Build on today’s cleanroom-based implementation and design equivalent capabilities across additional cloud and data platforms while preserving zero-copy, security, and enterprise trust guarantees.
• Set and drive the roadmap: Define, prioritize, and execute a roadmap that balances client demand, technical feasibility, platform reuse, and long-term strategic value.
• Build the support and operating model: Create the scalable support structure required to operate the platform at enterprise scale
• documentation, patterns, tooling, escalation paths, and operational readiness.
• Stay hands-on where it matters: Be technical enough to design and implement secure data collaboration workflows, including cleanroom-style patterns, access controls, and policy-driven computation.
• Partner on go-to-market strategy: Work closely with product, sales, and client-facing teams to position data collaboration offerings, shape messaging, support complex deals, and ensure the platform is both sellable and deliverable.
• Raise the internal bar: Build deep institutional knowledge around data collaboration: run enablement sessions, publish internal playbooks, and serve as the go-to expert across engineering, product, and GTM teams.
• Measure what matters: Define success metrics
• adoption, client outcomes, reliability, revenue impact
• and use them to guide investment, iteration, and deprecation decisions.

Requirements

• Leadership experience owning a data platform, product, or technical domain end to end.
• Hands-on experience in Python, SQL, and Java or Ruby.
• Hands-on experience with secure data sharing or collaboration patterns (e.g., cleanrooms, zero-copy architectures, policy-based access, governed computation).
• Strong background in modern data platforms and cloud ecosystems (Snowflake, AWS, Databricks, or similar).
• Ability to design and reason about secure, scalable architectures that meet enterprise and regulatory requirements.
• Experience balancing technical depth with business ownership, including roadmap planning and GTM collaboration.
• Comfort engaging directly with large enterprise clients on architecture, security, and value proposition.
• A track record of building platforms that move from “working” to “scalable and repeatable.”

Tech Stack

• AWS
• Cloud
• Java
• Python
• Ruby
• SQL

Benefits

• Unlimited PTO
• Excellent medical, dental, and vision coverage
• Employee Equity
• Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!