Sr. Technical Architect

Posted 8 Days Ago
Be an Early Applicant
Toronto, ON, CAN
In-Office
180K-230K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Database • Analytics
Let's build a world where data and AI turn possibilities into reality.
The Role
Lead complex, high-priority customer engagements as the primary technical authority, architect and implement end-to-end AI/ML and data platform solutions on Snowflake, define MLOps practices and governance, drive Snowflake product adoption, mentor junior architects, and translate business needs into scalable technical roadmaps.
Summary Generated by Built In

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.

How do you want to make your impact?

Our Human Resources Department may use artificial intelligence to support its administrative processes.

This role is available and may represent a new position.

This role is exempt from Ontario’s job posting requirements.

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

Skills Required

  • BA/BS in computer science, engineering, mathematics, or equivalent practical experience
  • 8+ years experience in solutions architecture, technical consulting, data engineering, or senior customer-facing technical role
  • Proven track record leading architecture decisions on large-scale, enterprise data and AI platforms
  • Deep hands-on experience implementing Snowflake in production environments (data modeling, performance tuning, security, governance)
  • Expert-level understanding of the full data analytics stack (ETL, data pipelines, BI tooling, semantic layers)
  • Strong grasp of the AI/ML lifecycle, including data preparation, feature engineering, model training, deployment, monitoring, and governance
  • Proficiency in SQL and Python and ability to produce and review production-quality code
  • Experience designing and implementing MLOps frameworks and model lifecycle management at enterprise scale
  • Proven ability to influence senior technical and executive stakeholders
  • Hands-on experience with generative AI and LLM use cases in production
  • Experience building/scaling a Center of Excellence or establishing architectural standards
  • 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

Snowflake Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.

  • Equity Value & Accessibility Equity grants (RSUs) and an ESPP are central to total compensation and are described as highly valuable. Feedback suggests many see equity as a major satisfaction driver with meaningful upside potential.
  • Fair & Transparent Compensation Pay is considered competitive and accompanied by clear communication on salary, equity, and advancement. Feedback suggests pay practices emphasize fairness and transparency.
  • Parental & Family Support Paid parental leave, fertility benefits, adoption assistance, and family planning resources are notably comprehensive. Feedback suggests these programs materially support major life events.

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The Company
HQ: Bozeman, MT
9,023 Employees
Year Founded: 2012

What We Do

Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.

Why Work With Us

Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.

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