Senior Technical Architect

🕒 August 8

🗽 New York – Remote

🗽 New York – Remote

💵 $160k - $210k / year

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 8%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Snowflake

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2012

☁️ SaaS

🏢 Enterprise

🤝 B2B

SaaS • Enterprise • B2B

Snowflake is a cloud-based data platform and data warehouse-as-a-service. It enables organizations to store, process, analyze, and share large volumes of structured and semi-structured data across multiple clouds, with separated scalable compute and storage, built-in security and data-sharing capabilities, and support for analytics and machine-learning workloads. Snowflake is delivered as a managed SaaS offering for enterprise customers and is primarily marketed and sold as a B2B product.

📋 Description

• 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

🎯 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 • 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

🏖️ Benefits

• 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