# Sr. Technical Architect

**Company:** [Snowflake](https://hotfix.jobs/companies/snowflake)
**Location:** Remote
**Role:** Solutions Architecture
**Salary:** $128k – $168k/yr
**Experience:** 8+ years
**Skills:** Snowflake, MLOps, AI/ML, SQL, Python, cortex, streamlit, ETL, Data Pipelines, AWS, GCP, Azure
**Posted:** 2026-07-10

> Senior Technical Architect leading complex AI/ML implementations and platform strategy for Snowflake customers. Owns architecture decisions, champions MLOps, drives adoption of Snowflake AI tools, and influences product direction while mentoring teams. Requires 8+ years experience with deep Snowflake expertise.

## Job Description

## Responsibilities
- 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.
- Architect and implement end-to-end AI/ML solutions on Snowflake, setting standards for scalability, performance, security, and operability.
- 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.
- 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.

## Requirements
- 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.

## Nice-to-Haves
- 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.

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