Why This Job is Featured on The SaaS Jobs
This Engineering Manager role sits at a core layer of the modern SaaS data platform: the metadata, catalog, and transaction foundations that make lakehouse workloads reliable at scale. The focus on Iceberg tables, external catalog interoperability, and multi cloud integration reflects where the SaaS data ecosystem is converging, with open table formats and governance becoming default expectations rather than differentiators.
For a SaaS engineering leader, the career leverage comes from operating where product capabilities meet platform constraints. Managing work that spans distributed systems, cross service dependencies, and external ecosystem standards builds a durable skill set that translates across data infrastructure companies. The mandate also suggests meaningful exposure to how SaaS platforms evolve without breaking customer workloads, including versioning, lineage, replication, and reliability patterns that tend to persist across generations of architecture.
This role is best suited to an engineering manager who prefers platform problems over feature delivery and is comfortable coordinating across teams and integration partners. It will fit someone who enjoys shaping technical direction while keeping a pragmatic eye on operational outcomes, particularly in environments where interoperability and correctness are as important as performance.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Metadata :
Our team owns the interoperable metadata and transaction foundation for Snowflake’s Lakehouse, building the core platforms behind Snowflake Managed and Externally Managed Iceberg tables. We enable Iceberg tables to tap into the best of Snowflake—replication, sharing, change tracking/row lineage, managed storage, and cross-cloud reliability—while bringing the best of Iceberg, including branching, tagging, and rich versioning, natively into the Snowflake platform. We work at the intersection of distributed systems, open table formats, and core Snowflake services to make open-format workloads first-class citizens in the AI Data Cloud.
Data Lake :
Catalog Services and Integrations Platform Team
We are looking for visionary leaders to join the Catalog Services & Integrations Platform team. Our mission is to make Snowflake the most interoperable data platform on the planet. We build the foundational infrastructure that enables seamless connectivity between Snowflake and the broader data ecosystem including platforms like Google BigLake, Microsoft OneLake, and Databricks Unity Catalog. If you are passionate about distributed systems, multi-cloud architectures, and shaping the future of open data standards, this is where you can have outsized impact.
What We Do
• Catalog Integrations Platform
We design and build a high performance, scalable integration layer that allows Snowflake to interoperate with external catalogs. Our platform enables frictionless metadata data discovery and access across the modern data stack, breaking down silos and empowering true data mobility.
• Horizon Catalog & Managed Polaris
We power the next generation of open cataloging within Snowflake through Horizon Catalog. Our team delivers managed Polaris capabilities and implements Iceberg REST Catalog (IRC) support bringing open standards, governance, and interoperability together in a unified experience.
• Open Ecosystem Enablement
We are at the forefront of enabling open table formats and cross-platform compatibility, ensuring Snowflake remains a central player in an increasingly interconnected data landscape
Dynamic Tables :
Dynamic Tables (DT) are Snowflake’s declarative engine for building automated, incremental data pipelines in simple SQL—Snowflake handles scheduling, incremental refresh, and reliable DAG execution so customers can focus on modeling their business logic. The Dynamic Tables Orchestration team builds towards the next-generation of “Unified Pipelines” that ties DTs together with Tasks, Streams, Snowpark, and dbt. We also build AI-enabled pipeline authoring and streamlining experiences, including prompt-based tuning and data refinement, turning complex platform signals into simple, intuitive workflows for data engineers.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
