Senior Technical Architect

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🕒 vor 4 Tagen

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of Snowflake

Snowflake

5001 - 10000 Mitarbeiter

Gegründet 2012

☁️ SaaS

🏢 Unternehmen

🤝 B2B

SaaS • Enterprise • B2B

Snowflake ist eine cloudbasierte Datenplattform und Data-Warehouse-as-a-Service. Sie ermöglicht es Organisationen, große Volumen an strukturierten und semi-strukturierten Daten in mehreren Clouds zu speichern, zu verarbeiten, zu analysieren und zu teilen, mit separierten skalierbaren Rechen- und Speicherressourcen, integrierter Sicherheit und Funktionen zum Datenaustausch sowie Unterstützung für Analyse- und Machine-Learning-Workloads. Snowflake wird als verwaltetes SaaS-Angebot für Unternehmenskunden bereitgestellt und wird hauptsächlich als B2B-Produkt vermarktet und verkauft.

Beschreibung

• 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 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 • 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

🎯 Anforderungen

• 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.

🏖️ Vorteile

• medical • dental • vision • life • disability insurance • 401(k) retirement plan • flexible spending & health savings account • at least 12 paid holidays • paid time off • parental leave • employee assistance program • other company benefits

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