Snowflake Computing

Sr. Technical Architect

Snowflake Computing$130K — $180K *
US-AnywhereRemote in New York, US
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • BA/BS in computer science, engineering, mathematics, or equivalent experience
  • 8+ years in solutions architecture, technical consulting, or a senior technical role
  • Proven experience leading architectural decisions for enterprise data and AI platforms
  • Hands-on experience with Snowflake implementations, including data modeling and performance tuning
  • Expert-level knowledge of the full data analytics stack and AI/ML lifecycle
  • Proficient in SQL and Python, capable of producing production-quality code
  • Experience designing MLOps frameworks for enterprise-scale
  • Ability to influence senior technical stakeholders in complex dynamics

Responsibilities

  • Lead customer engagements as technical authority, driving architecture decisions and measurable outcomes
  • Define platform strategy and long-term roadmaps in collaboration with customer executives
  • Translate ambiguous business problems into scalable technical solutions with clear risk-mitigation paths
  • Serve as the escalation point for technical challenges, unblocking delivery teams
  • Architect and implement end-to-end AI/ML solutions on Snowflake for improved scalability and security
  • Champion MLOps practices, including model governance and lifecycle management
  • Facilitate the adoption of Snowflake's AI products through architecture leadership

Benefits

  • Opportunity to shape customer outcomes in data and AI projects
  • Work in a collaborative environment with industry leaders
  • Access to cutting-edge technology and tools in the data analytics space
  • Mentorship and leadership opportunities for career growth
  • Engage in a culture of innovation and continuous improvement
Full Job Description
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

About Snowflake Computing

Snowflake is a cloud-based data-warehousing company that was founded in 2012. The company provides a data platform that allows customers to store and analyze data using cloud-based infrastructure. Snowflake's platform is designed to be highly scalable and flexible, allowing customers to easily add or remove computing resources as needed. The company's customers include a wide range of businesses, from startups to Fortune 500 companies. Snowflake has received significant funding from investors and has been recognized as one of the fastest-growing companies in the United States.
Learn more about Snowflake Computing
Size
2,037 employees
Market Cap
$44.9 billion
Industry
Net Income
-$539.1 million
Founded
2012
Revenue
$592 million
NASDAQ

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