Senior Technical Architect

🕒 Agosto 8

🗽 New York – Remoto

🗽 New York – Remote

💵 $160.000 - $210.000 / ano

⏰ Tempo Integral

🟠 Sênior

🔙 Engenheiro Backend

👻 Score fantasma 9%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Snowflake

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 2012

☁️ SaaS

🏢 Corporativo

🤝 B2B

SaaS • Enterprise • B2B

Snowflake é uma plataforma de dados em nuvem e um data warehouse como serviço. Ela permite que as organizações armazenem, processem, analisem e compartilhem grandes volumes de dados estruturados e semiestruturados em múltiplas nuvens, com computação e armazenamento escaláveis separados, segurança integrada e capacidades de compartilhamento de dados, além de suporte para cargas de trabalho de análise e aprendizado de máquina. A Snowflake é entregue como uma oferta SaaS gerenciada para clientes corporativos e é comercializada primariamente como um produto B2B.

Descrição

• Lead customer engagements as the primary technical authority, owning architecture decisions and measurable outcomes across complex, multi-workstream implementations • Partner with customer executives and senior technical leadership to define platform strategy, long-term roadmaps, and alignment of Snowflake capabilities with business objectives • Translate ambiguous business problems into scalable technical solutions with clear delivery paths and risk-mitigation strategies • Serve as the technical escalation point, unblocking delivery teams and resolving architectural issues • Architect and implement end-to-end AI/ML solutions on Snowflake • Set standards for scalability, performance, security, and operability across customer environments • Define and champion MLOps practices covering deployment pipelines, monitoring, governance, and lifecycle management • Drive adoption of Snowflake's AI product suite, including Cortex, Streamlit in Snowflake, and Snowflake Intelligence • Lead replatforming of complex AI/ML workloads onto Snowflake • Coordinate across customer engineering, data science, and platform teams • Bridge Services Delivery, Go-to-Market, and Snowflake product teams • Channel customer feedback to influence product direction • Mentor junior architects and consultants • Contribute reusable architecture patterns, reference implementations, and delivery accelerators

🎯 Requisitos

• 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 • Track record leading architecture decisions on large-scale enterprise data and AI platforms • Deep hands-on experience implementing Snowflake in production, including data modeling, performance tuning, security design, and platform governance • Expert-level understanding of the data analytics stack, including ETL, data pipelines, data platform architecture, BI tooling, and semantic layers • Strong understanding of the AI/ML lifecycle, including data preparation, feature engineering, model training, deployment, monitoring, and governance • Proficiency in SQL and Python • Ability to produce and review production-quality code • Experience designing and implementing enterprise-scale MLOps frameworks and model lifecycle management • Ability to influence senior technical and executive stakeholders and navigate complex organizational dynamics • Hands-on experience with generative AI and LLM use cases in production is a bonus • Experience building or scaling a Center of Excellence or establishing enterprise architectural standards is a bonus • Background in a technology product company's services organization is a bonus • AWS, Google Cloud, or Microsoft Azure advanced certifications are a bonus • Snowflake SnowPro Advanced Certifications are a bonus • Deep industry vertical expertise is a bonus • Experience as a technical lead on multi-team or multi-vendor delivery programs is a bonus

🏖️ Benefícios

• Bonus and equity plan eligibility • Medical insurance • Dental insurance • Vision insurance • Life insurance • Disability insurance • 401(k) retirement plan • Flexible spending account • Health savings account • At least 12 paid holidays • Paid time off • Parental leave • Employee assistance program • Other company benefits