Senior Technical Architect

🕒 August 7

🗽 New York – Remote

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💵 $160k - $210k / year

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 0%

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Logo of Snowflake

Snowflake

5001 - 10000 employees

Founded 2012

💼 Consulting

📣 Marketing

Consulting • Marketing • Cloud Computing

Snowflake is a cloud-based data-warehousing company that provides a platform for data storage, processing, and analytics. It allows businesses to store data in a centralized location and perform complex queries and analytics on that data efficiently. Snowflake is designed to handle a wide range of data workloads and can scale dynamically to meet the needs of growing businesses.

📋 Description

• Lead customer engagements as the primary technical authority, owning architecture decisions and measurable outcomes across complex implementations • Partner with customer executives and senior technical leaders to define platform strategy and long-term roadmaps • Translate ambiguous business problems into scalable technical solutions with 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 • Define and champion enterprise MLOps practices, including 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 • Bridge Services Delivery, Go-to-Market, and Snowflake product teams, channeling customer feedback to influence product direction • Mentor junior architects and consultants • Develop 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 • Hands-on experience implementing Snowflake in production, including data modeling, performance tuning, security design, and platform governance • Expert understanding of the data analytics stack, including ETL, data pipelines, data platform architecture, BI tooling, and semantic layers • Understanding of the AI/ML lifecycle, including data preparation, feature engineering, model training, deployment, monitoring, and governance • Proficiency in SQL and Python, including producing and reviewing 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 • Generative AI and LLM production experience, cloud advanced certifications, Snowflake SnowPro Advanced Certification, industry expertise, and multi-team or multi-vendor delivery experience are bonus qualifications

🏖️ Benefits

• Salary and benefits information is provided via the Snowflake Careers Site for jobs located in the United States • Equal employment opportunity protections • Voluntary self-identification and confidential handling of demographic, veteran, and disability information

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