---
title: 'Engineering Manager/Tech Lead Manager - Runtime Engineering at Snowflake'
canonical: 'https://feeny.ai/job/engineering-manager-tech-lead-manager-runtime-engineering-snowflake-us-ca-menlo-7k54966zvsx8'
type: 'job'
last_seen: '2026-10-23'
---

# Engineering Manager/Tech Lead Manager - Runtime Engineering at Snowflake

- **Company:** [Snowflake](https://feeny.ai/companies/snowflake)
- **Location:** Us-Ca-Menlo Park
- **Compensation:** $236k–$339k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-22
- **Last confirmed live:** 2026-10-23
- **Apply:** https://jobs.ashbyhq.com/snowflake/819f71d8-ee5f-429b-948d-46669a760edb

## 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. Engineering Manager – Spark Runtime Engineering Location: Bellevue, WA or Menlo Park, CA

## About the Team

The Spark Runtime Engineering Team brings Snowflake’s performance, efficiency, and reliability to Spark workloads. Our mission is to help customers scale data processing while preserving the familiar Spark APIs and semantics they rely on. We build the compiler and runtime integration that translate Spark workloads into efficient execution on Snowflake’s cloud-native query engine. This includes tackling complex challenges in compiler infrastructure, query-plan lowering, Spark compatibility, execution integration, and end-to-end observability to deliver faster, more cost-efficient data processing at scale. We are seeking a hands-on Engineering Manager who combines deep technical expertise with strong people leadership. You will shape the team’s technical direction, stay actively engaged in architecture and critical engineering decisions, and hire, mentor, and grow a high-performing engineering team to advance the future of Spark on Snowflake.

## Role Overview

You will lead a team of approximately 5–8 engineers building production compiler and runtime capabilities for Spark workloads on Snowflake. You will guide architectural decisions, review critical designs and code, and help investigate complex correctness, performance, and reliability issues. In partnership with compiler, query engine, runtime, and product teams, you will turn customer needs into a focused roadmap and measurable engineering outcomes.

## Responsibilities

- Set technical direction for Spark query compilation and runtime integration, including intermediate representations, type resolution, semantic compatibility, query-plan transformations, and efficient SQL generation.
- Improve end-to-end workload performance and cost-efficiency through profiling, compilation-latency reduction, metadata-access improvements, and collaboration with query-engine teams.
- Establish strong correctness and compatibility practices, including differential testing against Apache Spark, regression coverage, and clear handling of unsupported behavior.
- Own the production quality of the team’s components, including observability, incident response, fault recovery, and safe rollout practices.
- Hire, coach, and develop engineers; provide actionable feedback, manage performance, and support career growth across experience levels.
- Partner with senior technical leaders and Product Management to prioritize investments, manage dependencies, and deliver a realistic roadmap.
- Validate changes against representative customer workloads and track measurable improvements in compatibility, latency, reliability, and cost-efficiency.

## Minimum Qualifications

- 2+ years of direct engineering management experience, with demonstrated success developing engineers and delivering production systems.
- 5+ years of hands-on software engineering experience, including substantial work on compilers, query-processing systems, or runtime infrastructure.
- Deep expertise in at least one relevant area, such as compiler architecture and IR transformations, relational query processing, language semantics and type systems, or runtime integration.
- Proficiency in Scala, Java, C++, or a comparable implementation language, with the ability to review production code and guide technical decisions.
- Strong systems fundamentals, including concurrency, memory behavior, and performance analysis, together with experience debugging complex production issues.
- Ability to translate technical and customer requirements into engineering priorities and collaborate effectively across teams and locations.

## Preferred Qualifications

- Experience with Apache Spark internals, Catalyst, Spark Connect, or DataFrame APIs.
- Experience with relational algebra, SQL generation, query optimization, or database execution systems.
- Experience with Scala/JVM performance, native runtime functions, metadata caching, or compilation-performance optimization.
- Experience building compatibility-test frameworks, differential testing, performance benchmarks, or production observability for data systems.
- Experience leading systems through customer adoption, production hardening, and staged releases.
- A degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience.

Why Join Us? Help shape how Spark workloads run on Snowflake. You will work on technically challenging compiler and runtime problems, grow a strong engineering team, and make a measurable difference to the correctness, reliability, and cost-efficiency of customers’ data processing. 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

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