---
title: 'Sr. Technical Architect at Snowflake'
canonical: 'https://feeny.ai/job/sr-technical-architect-snowflake-new-york-zpmvk67kkhjx'
type: 'job'
last_seen: '2026-09-11'
---

# Sr. Technical Architect at Snowflake

- **Company:** [Snowflake](https://feeny.ai/companies/snowflake)
- **Location:** New York, NY
- **Compensation:** $160k–$210k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-08-07
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/snowflake/8a9aa154-50fc-4fde-b581-f24f291315fe

## 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. We are hiring a Senior Technical Architect for our Services Delivery team. Our SD organization partners with customers across every stage of their data and AI journey, from initial implementation through long-term platform strategy. In this role, you will own the technical delivery and outcome for complex, high-priority engagements, serve as the most senior technical voice in the room, and shape how our customers use Snowflake to drive real business transformation.

AS A SENIOR TECHNICAL ARCHITECT AT SNOWFLAKE, YOU WILL: Customer Leadership and Advisory

- Lead customer engagements as the primary technical authority, owning architecture decisions and driving measurable outcomes across complex, multi-workstream implementations
- Partner with customer executives and senior technical leadership to define platform strategy, develop long-term roadmaps, and align Snowflake capabilities to business objectives
- Translate ambiguous business problems into well-defined, scalable technical solutions, with clear delivery paths and risk-mitigation strategies
- Serve as the trusted escalation point for technical challenges within engagements, unblocking delivery teams and resolving architectural issues

Technical Architecture and Delivery

- Architect and implement end-to-end AI/ML solutions on Snowflake, setting standards for scalability, performance, security, and operability across the customer's environment
- Define and champion MLOps practices within customer organizations, covering model deployment pipelines, monitoring, governance frameworks, and lifecycle management
- Drive adoption of Snowflake's AI product suite (Cortex, Streamlit in Snowflake, Snowflake Intelligence) through architecture leadership and hands-on delivery
- Lead replatforming efforts for complex AI/ML workloads onto Snowflake, coordinating across customer engineering, data science, and platform teams

Cross-Functional Influence

- Act as a bridge between SD delivery, Go-to-Market, and Snowflake product teams, channeling customer feedback to influence product direction
- Mentor and provide technical direction to junior architects and consultants within engagements
- Contribute to the development of reusable architecture patterns, reference implementations, and delivery accelerators for the broader PD organization

OUR IDEAL SENIOR TECHNICAL ARCHITECT WILL HAVE:

- BA/BS in computer science, engineering, mathematics, or a related field, or equivalent practical experience
- 8+ years of experience in solutions architecture, technical consulting, data engineering, or a senior customer-facing technical role
- Demonstrated track record leading architecture decisions on large-scale, enterprise data and AI platforms
- Deep hands-on experience implementing Snowflake in production environments, including data modeling, performance tuning, security design, and platform governance
- Expert-level understanding of the full data analytics stack, from ETL and data pipelines to data platform architecture, BI tooling, and semantic layers
- Strong grasp of the AI/ML lifecycle, from data preparation and feature engineering through model training, deployment, monitoring, and ongoing governance
- Proficiency in SQL and Python; ability to produce and review production-quality code as part of delivery leadership
- Experience designing and implementing MLOps frameworks and model lifecycle management at enterprise scale
- Proven ability to influence senior technical and executive stakeholders and navigate complex organizational dynamics

## BONUS POINTS FOR THE FOLLOWING:

- Hands-on experience with generative AI and large language model (LLM) use cases in production
- Experience building and scaling a Center of Excellence or establishing architectural standards across a large enterprise
- Background in the services organization of a technology product company
- AWS, Google Cloud, or Microsoft Azure Advanced certification(s)
- Snowflake SnowPro Advanced Certification(s)
- Deep industry vertical expertise (e.g., Financial Services, Healthcare, Media and Entertainment)
- Experience as a technical lead on multi-team or multi-vendor delivery programs

WHY JOIN OUR SERVICES DELIVERY TEAM AT SNOWFLAKE? Services Delivery at Snowflake puts you at the intersection of enterprise-scale data architecture and the most important AI transformation work happening in the market today. At this level, you'll have real influence, not just over individual engagements, but over how we build and deliver as an organization. The problems are genuinely hard, the customers are sophisticated, and the work directly shapes how some of the world's largest companies run their data and AI platforms. If you want a senior role where your architectural decisions have organizational impact, where you're constantly working at the edge of what Snowflake can do, and where you're surrounded by people who push each other to get better, this is it.

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

- [Software Engineer](https://feeny.ai/job/software-engineer-snowflake-warsaw-rk93stde6gfz) — Warsaw, Poland
- [Strategic Account Executive, Majors Acquisition](https://feeny.ai/job/strategic-account-executive-majors-acquisition-snowflake-texas-z28sj7wdvvq8) — Texas, United States
- [Staff Technical Program Manager - Security](https://feeny.ai/job/staff-technical-program-manager-security-snowflake-menlo-park-wq8j55r9qq5p) — Menlo Park, CA
- [Engineering Manager](https://feeny.ai/job/engineering-manager-snowflake-menlo-park-hcb2t29d5htr) — Menlo Park, CA
- [Senior Manager, Technical Program Management - Security](https://feeny.ai/job/senior-manager-technical-program-management-security-snowflake-menlo-park-94cf3wxj9d56) — Menlo Park, CA
- [Principal Software Engineer - Semantic Views](https://feeny.ai/job/principal-software-engineer-semantic-views-snowflake-menlo-park-rsztyc80kfn7) — Menlo Park, CA
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- [Services Solutions Manager](https://feeny.ai/job/services-solutions-manager-snowflake-united-kingdom-f5bh8de9z9m1) — United Kingdom
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