---
title: 'Implementation Engineer, Observe at Snowflake'
canonical: 'https://feeny.ai/job/implementation-engineer-observe-snowflake-new-york-2c3rw53a3bvb'
type: 'job'
last_seen: '2026-09-18'
---

# Implementation Engineer, Observe at Snowflake

- **Company:** [Snowflake](https://feeny.ai/companies/snowflake)
- **Location:** New York, NY
- **Compensation:** $160k–$210k
- **Employment:** full-time
- **Posted:** 2026-08-20
- **Last confirmed live:** 2026-09-18
- **Apply:** https://jobs.ashbyhq.com/snowflake/e4c75616-b76c-414a-9b59-af7bacb0d0c6

## 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. Observe by Snowflake is a high-growth SaaS observability platform built on the Snowflake AI Data Cloud, enabling businesses to troubleshoot modern distributed applications 10x faster. Now, as a core part of Snowflake, we’ve reached a major milestone in the evolution of the Snowflake platform. By bringing AI-powered observability directly into the Snowflake ecosystem, we’ve created the first truly unified platform for telemetry and business data. We’re looking for an Implementation Engineer to help enterprise customers successfully deploy, configure, and operationalize Observe. This is a hands-on, post-sales technical role focused on delivering strong first outcomes, accelerating time-to-value, and establishing a solid foundation for long-term customer success. Implementation Engineers are deeply technical, customer-facing practitioners who work closely with customer platform, SRE, DevOps, and application teams during onboarding and early adoption. In this role, you’ll translate existing observability architectures (including OpenTelemetry-based pipelines, Splunk, ELK, and other monitoring solutions) into scalable, production-ready implementations on Observe—using best practices while balancing speed, quality, and customer enablement. Implementation Engineers focus on initial deployments and time-to-value. They set the technical foundation and tone for the customer relationship by ensuring early success, sound architecture, and a clear path forward. Once customers are live and operational, Observability Engineers and Architects build on this foundation—driving deeper adoption, new use cases, and long-term value.

## What You’ll Do

- Lead structured implementations for enterprise customers, from kickoff through initial production readiness
- Design and configure telemetry ingestion pipelines across logs, metrics, and traces, including parsing, enrichment, normalization, and routing
- Work hands-on with OpenTelemetry instrumentation and collectors, helping customers adopt modern, vendor-neutral observability standards
- Migrate and modernize existing observability environments (e.g., Splunk, ELK, cloud-native monitoring tools) into Observe
- Configure datasets, dashboards, alerts, and core observability assets aligned to customer use cases
- Establish implementation plans, milestones, and success criteria in partnership with customers
- Deliver practical, hands-on guidance that enables customers to become self-sufficient on the platform
- Identify technical risks, data quality issues, or architectural gaps early and proactively address them
- Capture implementation patterns, best practices, and reusable assets to improve consistency and scalability across the team
- Collaborate closely with Observability Engineers, Architects, Support, Product, and Engineering to ensure smooth transitions and ongoing success

## What You’ll Bring

- 5+ years of experience in customer-facing technical roles such as implementation engineer, solutions architect, technical consultant, or SRE
- Strong hands-on experience with observability platforms and telemetry pipelines
- Practical experience with OpenTelemetry (instrumentation, collectors, exporters, pipelines)
- Experience working with one or more commercial or open-source observability solutions (e.g., Splunk, ELK/Elastic, Datadog, New Relic, Dynatrace, Grafana)
- Solid understanding of logs, metrics, and traces, including data modeling and tradeoffs at scale
- Experience working in cloud environments (AWS, GCP, Azure) and modern application architectures
- Ability to work directly with technical customer teams and communicate clearly at multiple levels
- Strong problem-solving skills and comfort working through ambiguity in fast-moving environments

## Nice to Have

- Experience migrating customers from Splunk or ELK to modern observability platforms
- Background in SRE, DevOps, or platform engineering roles
- Familiarity with Kubernetes, containerized workloads, and cloud-native tooling
- Experience creating implementation templates, runbooks, or enablement content
- Exposure to multiple observability vendors or hybrid observability environments

This role is ideal for a technically strong practitioner who enjoys building real solutions with customers, delivering early wins, and helping shape repeatable, scalable post-sales practices. 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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