---
title: 'Engineering Manager, Data Engineering Experience at Snowflake'
canonical: 'https://feeny.ai/job/engineering-manager-data-engineering-experience-snowflake-bellevue-s5n7a9kbg85s'
type: 'job'
last_seen: '2026-09-18'
---

# Engineering Manager, Data Engineering Experience at Snowflake

- **Company:** [Snowflake](https://feeny.ai/companies/snowflake)
- **Location:** Bellevue, WA
- **Compensation:** $236k–$339k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-07-21
- **Last confirmed live:** 2026-09-18
- **Apply:** https://jobs.ashbyhq.com/snowflake/3272836f-807d-4306-af07-83a848803e01

## 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.

## Team Scope

You'll lead a team of 10 engineers owning the Developer Experience for authoring data engineering workloads, reporting to the manager who oversees DEX across all geographies. Every place a data engineer writes, runs, automates, or debugs their work is something we build, shape, or contribute to:

- Workspaces — the primary browser-based, multi-file IDE in Snowsight. Full-stack: a React/TypeScript front end on top of our own backend platform. We are the single largest contributor to this surface in net-new feature capabilities.
- Cortex Code Desktop — the local, VS Code-grade development experience for building on Snowflake (CoCo). We develop DE-focused experiences inside of the Desktop editor as first-class experiences.
- Cortex Code CLI — the command-line developer experience for the same workflows, for engineers who live in the terminal. We develop skills that go out to customers, as well as frameworks and technologies internally to build and test the agent and skills more rapidly.
- Pipeline Observability UIs — the in-product monitoring surfaces for deployed pipeline objects in Snowflake

-

The products you'll ship on those surfaces

- dbt Projects on Snowflake (GA) — build, run, schedule, and monitor dbt natively inside Snowflake, no external orchestrator.
- DCM (Database Change Management, Public Preview) — declarative, git-integrated infrastructure-as-code for Snowflake objects. Customer asks were blunt: "get rid of Terraform." DCM is the deployment backbone under both Pipeline Builder and dbt Projects.
- Pipeline Builder (private preview, heading to public preview) — a visual, drag-and-drop orchestration canvas that compiles to DCM and deploys as a task graph. This is our answer to Databricks' Lakeflow Designer and Airflow. One of the biggest Snowflake launches coming this summer.
- More to come! This is a team with a track record of shipping fast, and there's plenty more on the roadmap.

## What we're looking for

- 3-5 years of management experience
- A track record of leading technical teams, plus experience with modern IDEs, distributed build systems, and cloud-based dev environments.
- Strong Product Instincts — Able to confidently meet with customers (internal, external, product mgr hat), understand their problems, have a deep understanding of the existing product, and use that knowledge to author roadmaps, create project plans, and suggest novel product solutions.
- Excellent Cross Functional Relationship Building – DEX touches all parts of Snowflake’s software stack, with deliverables from UX down to bare metal. Building relationships and managing expectations is critical to making the whole of the product greater than the sum of its parts.
- Hands-on Experience – Build real projects to test the product, find the hard edges, make fixes, and develop opinions. Become an advocate for your own products and how to take them to the next level. Use AI extensively to empower your decision making.
- Passion mentoring and being mentored – Snowflake has a strong culture for growing people. We invest in others and ourselves. Having examples where you’ve concretely impacted those around you is critical.
- Bonus: dbt, Airflow, Spark, or similar experience with Data Engineering frameworks/tools

## Why this role matters now

- Authoring is the front door. Everything a data engineer does on Snowflake starts on one of our surfaces — so the experience here directly drives DE adoption and consumption.
- Agentic authoring is our FY27 big bet. Natural-language pipeline authoring in our products is a leapfrog opportunity over the competition and we demoed a lot of this at Summit
- A four-year roadmap is ready to converge into one, cohesive product. Workspaces, DCM, Cortex Code, Pipeline Builder, and their underlying primitives are coming together into one coherent authoring story, and this role is stitching them together.

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](http://careers.snowflake.com)

## About Snowflake

## Company Overview
- **One-liner**: Snowflake provides an AI Data Cloud platform that enables enterprises to store, analyze, and securely share their data across multiple clouds and geographies.
- **Entity Type**: Public (NYSE: SNOW)
- **Headquarters**: Bozeman, Montana, United States
- **Founded**: 2012
- **Founders**: Not explicitly listed in the provided search results (widely known co-founders include Benoit Dageville, Thierry Cruanes, Marcin Zukowski – not verified in these search results)

## Core Business
- **Primary Industry**: Enterprise software, cloud data platform
- **Target Customers**: B2B, including large enterprises (e.g., hundreds of the world’s largest companies), mid-market, and SMBs
- **Mission**: “To Mobilize the World’s Data” (Glassdoor) and “empower every enterprise to achieve its full potential through data and AI” (Snowflake Careers page)

## Products & Services
- **Snowflake AI Data Cloud**: A unified, multi-cloud platform that combines data warehousing, data lakes, data sharing, and AI/ML capabilities. Customers can discover, share, and analyze data while running analytic workloads across public clouds (AWS, Azure, GCP).
- **Snowflake Marketplace**: A marketplace for discovering and accessing third‑party data sets and applications.
- **Snowflake‑Powered Applications**: Platform for building and deploying data‑intensive applications.

## Market Standing
- **Valuation/Market Cap**: Not directly provided in search results (as a public company, market cap fluctuates and is available on financial websites).
- **Key Metric**: Annual Revenue – $1 to $5 billion (USD) per Glassdoor.
- **Notable Investors/Partners**: Not explicitly mentioned in the search results (historically backed by Sequoia Capital, Dragoneer, etc. – not verified here).
- **Growth Signals**:
  - Named #1 on the 2023 Fortune Future 50 List ([Fortune.com](https://fortune.com))
  - Listed as a U.S. Best Large Place to Work by BuiltIn in 2024
  - Recognized as one of the “20 Coolest Cloud Software Companies” by CRN in 2022 and 2024
  - Headcount of 5,001–10,000 employees with 30 global locations; actively hiring
  - Revenue range $1B–$5B indicates strong scale

## Competitive Advantages
- **Multi‑Cloud Flexibility**: Operates across AWS, Azure, and GCP, avoiding vendor lock‑in.
- **Unified Data Experience**: One platform for data sharing, analytics, and AI, reducing silos.
- **Separation of Compute and Storage**: Allows independent scaling and cost efficiency (not detailed in provided sources, but a known differentiator).
- **Strong Ecosystem**: Data marketplace and extensive partner network.

## Strategic Focus
- **AI & Data Innovation**: The company’s current emphasis is on making “enterprise AI easy, efficient, and trusted” and integrating AI capabilities into the Data Cloud.
- **Global Expansion**: Active hiring across 30 locations indicates continued geographic growth.
- **Customer‑Centric Development**: Focus on empowering enterprises to achieve “full potential through data and AI.”

## Why Work Here
- **Culture**: Described as “driven by innovation, low egos, high bars, and collaboration” (Snowflake Careers page). Glassdoor rating of 3.9/5 overall (78% approve CEO).
- **Work‑Life Balance**: Glassdoor rates Work/Life Balance at 3.7/5; many remote and hybrid roles available (see Indeed listings).
- **Benefits**: “Benefits & Beyond” program includes competitive compensation, equity, career advancement programs, and commitment to pay equality and veteran hiring.
- **Engineering Focus**: Hiring process includes 2–4 week timeline with technical interviews; the company values impactful, project‑based work for all roles, including interns.
- **Recognition**: Named a Best Large Place to Work (BuiltIn 2024) and future‑focused by Fortune, signaling strong employer brand.

## Sources
1. [Snowflake Careers Overview](https://careers.snowflake.com/us/en)
2. [Life at Snowflake](https://careers.snowflake.com/us/en/snowflake-life)
3. [Snowflake on Glassdoor](https://www.glassdoor.com/Overview/Working-at-Snowflake-EI_IE928471.11,20.htm)
4. [Snowflake Hiring Process](https://careers.snowflake.com/us/en/gethired)
5. [Snowflake on Indeed](https://www.indeed.com/cmp/Snowflake-7f4a7fba)
6. [Snowflake Careers Portal (Ashby)](https://jobs.ashbyhq.com/snowflake) – provided by user

## Other roles at Snowflake

- [Staff Software Engineer, Frontier Security Team](https://feeny.ai/job/staff-software-engineer-frontier-security-team-snowflake-menlo-park-s0j1d6rx7y26) — Menlo Park, CA
- [Solutions Architect, Frontier Engineering](https://feeny.ai/job/solutions-architect-frontier-engineering-snowflake-tokyo-sm1dgx3ybzss) — Tokyo, Japan
- [Sales Development Representative](https://feeny.ai/job/sales-development-representative-snowflake-menlo-park-rgxgzwcztf7b) — Menlo Park, CA
- [Staff Software Engineer, Cortex AI Search Infrastructure](https://feeny.ai/job/staff-software-engineer-cortex-ai-search-infrastructure-snowflake-menlo-park-j5d8xyax30bc) — Menlo Park, CA
- [Intermediate/ Senior Software Engineer - Cortex LLM Training Platform](https://feeny.ai/job/intermediate-senior-software-engineer-cortex-llm-training-platform-snowflake-npmnzsyr6rp8) — Bellevue, WA
- [Director, Global Marketing Operations](https://feeny.ai/job/director-global-marketing-operations-snowflake-menlo-park-2j23y8ca32dm) — Menlo Park, CA
- [Senior/Staff System Research Engineer – LLM Inference Optimization](https://feeny.ai/job/senior-staff-system-research-engineer-llm-inference-optimization-snowflake-dwrjfex7daq2) — Bellevue, WA
- [Principal Software Engineer - Performance Engineering (Cloud Infrastructure)](https://feeny.ai/job/principal-software-engineer-performance-engineering-cloud-infrastructure-hr4dbyfrgvq9) — Menlo Park, CA
- [Senior Solution Engineer, Retail & Consumer Goods](https://feeny.ai/job/senior-solution-engineer-retail-consumer-goods-snowflake-chicago-3m7stm4vxfey) — Chicago, IL
- [Senior Technical Program Manager - AppEx](https://feeny.ai/job/senior-technical-program-manager-appex-snowflake-menlo-park-dmn4chvwdetj) — Menlo Park, CA