Senior Technical Architect

• 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
• 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

Benefits

• Comprehensive health insurance plans
• Health savings accounts
• Robust retirement plans
• Life and disability insurance
• Weekly online lunch and learns
• Virtual workout classes
• Ergonomic work-from-home equipment
• On-demand mental health and wellness programs
• Fertility benefits and family planning resources
• Generous time-off and various leave plans
• Onsite and Remote Work
• Employee discounts and pre-tax selections
• New hire equity + Employee Stock Purchase Plan (ESPP)
• Quarterly bonus or commission program- Strong grasp of the AI/ML lifecycle, from data preparation and feature engineering through model training, deployment, monitoring, and ongoing governance
• Experience designing and implementing MLOps frameworks and model lifecycle management at enterprise scale
• Deep hands-on experience implementing Snowflake in production environments, including data modeling, performance tuning, security design, and platform governance
• BA/BS in computer science, engineering, mathematics, or a related field, or equivalent practical experience
• Expert-level understanding of the full data analytics stack, from ETL and data pipelines to data platform architecture, BI tooling, and semantic layers
• Demonstrated track record leading architecture decisions on large-scale, enterprise data and AI platforms
• Proficiency in SQL and Python; ability to produce and review production-quality code as part of delivery leadership
• 8+ years of experience in solutions architecture, technical consulting, data engineering, or a senior customer-facing technical role
• Proven ability to influence senior technical and executive stakeholders and navigate complex organizational dynamics
• Experience building and scaling a Center of Excellence or establishing architectural standards across a large enterprise
• Hands-on experience with generative AI and large language model (LLM) use cases in production
• Background in the services organization of a technology product company
• AWS, Google Cloud, or Microsoft Azure Advanced certification(s)
• Deep industry vertical expertise (e.g., Financial Services, Healthcare, Media and Entertainment)
• Snowflake SnowPro Advanced Certification(s)
• Experience as a technical lead on multi-team or multi-vendor delivery programs