
5001 - 10000 employees
Founded 2012
âïž SaaS
Cloud Computing âą Data Analytics âą SaaS
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.
đ„ 0 minutes ago
â Washington â Remote
đ” $128k - $168k / year
â° Full Time
đ Senior
đ Backend Engineer
đŠ H1B Visa Sponsor
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5001 - 10000 employees
Founded 2012
âïž SaaS
Cloud Computing âą Data Analytics âą SaaS
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.
âą Lead customer engagements as the primary technical authority, owning architecture decisions and driving measurable outcomes across complex, multi-workstream implementations âą Partner with customer executives and senior technical leadership to define platform strategy, develop long-term roadmaps, and align Snowflake capabilities to business objectives âą Translate ambiguous business problems into well-defined, scalable technical solutions, with clear delivery paths and risk-mitigation strategies âą Serve as the trusted escalation point for technical challenges within engagements, unblocking delivery teams and resolving architectural issues âą Architect and implement end-to-end AI/ML solutions on Snowflake, setting standards for scalability, performance, security, and operability across the customer's environment âą Define and champion MLOps practices within customer organizations, covering model deployment pipelines, monitoring, governance frameworks, and lifecycle management âą Drive adoption of Snowflake's AI product suite through architecture leadership and hands-on delivery âą Lead replatforming efforts for complex AI/ML workloads onto Snowflake, coordinating across customer engineering, data science, and platform teams âą Act as a bridge between SD delivery, Go-to-Market, and Snowflake product teams, channeling customer feedback to influence product direction âą Mentor and provide technical direction to junior architects and consultants within engagements âą Contribute to the development of reusable architecture patterns, reference implementations, and delivery accelerators for the broader PD organization
âą BA/BS in computer science, engineering, mathematics, or a related field, or equivalent practical experience âą 8+ years of experience in solutions architecture, technical consulting, data engineering, or a senior customer-facing technical role âą Demonstrated track record leading architecture decisions on large-scale, enterprise data and AI platforms âą Deep hands-on experience implementing Snowflake in production environments, including data modeling, performance tuning, security design, and platform governance âą Expert-level understanding of the full data analytics stack, from ETL and data pipelines to data platform architecture, BI tooling, and semantic layers âą Strong grasp of the AI/ML lifecycle, from data preparation and feature engineering through model training, deployment, monitoring, and ongoing governance âą Proficiency in SQL and Python; ability to produce and review production-quality code as part of delivery leadership âą Experience designing and implementing MLOps frameworks and model lifecycle management at enterprise scale âą Proven ability to influence senior technical and executive stakeholders and navigate complex organizational dynamics
âą Health insurance âą Remote work flexibility âą Professional development opportunities
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