Snowflake11 дней назад
Sr. Technical Architect
Зарплата не указана
РЫНОК
15 349 ₽медиана по профессии
Solution Architect · 31 вакансий с указанной зарплатой
5 667половина предложений: 15 000–18 258200 000
Работодатель не указал зарплату — сравните с рынком сами.
Полная занятостьУдалёнка
Обязанности
- 01Lead customer engagements as the primary technical authority, owning architecture decisions and driving measurable outcomes across complex, multi-workstream implementations
- 02Partner with customer executives and senior technical leadership to define platform strategy, develop long-term roadmaps, and align Snowflake capabilities to business objectives
- 03Translate ambiguous business problems into well-defined, scalable technical solutions, with clear delivery paths and risk-mitigation strategies
- 04Serve as the trusted escalation point for technical challenges within engagements, unblocking delivery teams and resolving architectural issues
- 05Architect and implement end-to-end AI/ML solutions on Snowflake, setting standards for scalability, performance, security, and operability across the customer's environment
- 06Define and champion MLOps practices within customer organizations, covering model deployment pipelines, monitoring, governance frameworks, and lifecycle management
- 07Drive adoption of Snowflake's AI product suite (Cortex, Streamlit in Snowflake, Snowflake Intelligence) through architecture leadership and hands-on delivery
- 08Lead replatforming efforts for complex AI/ML workloads onto Snowflake, coordinating across customer engineering, data science, and platform teams
- 09Act as a bridge between SD delivery, Go-to-Market, and Snowflake product teams, channeling customer feedback to influence product direction
- 10Mentor and provide technical direction to junior architects and consultants within engagements
- 11Contribute to the development of reusable architecture patterns, reference implementations, and delivery accelerators for the broader PD organization
Требования
- 01BA/BS in computer science, engineering, mathematics, or a related field, or equivalent practical experience
- 028+ years of experience in solutions architecture, technical consulting, data engineering, or a senior customer-facing technical role
- 03Demonstrated track record leading architecture decisions on large-scale, enterprise data and AI platforms
- 04Deep hands-on experience implementing Snowflake in production environments, including data modeling, performance tuning, security design, and platform governance
- 05Expert-level understanding of the full data analytics stack, from ETL and data pipelines to data platform architecture, BI tooling, and semantic layers
- 06Strong grasp of the AI/ML lifecycle, from data preparation and feature engineering through model training, deployment, monitoring, and ongoing governance
- 07Proficiency in SQL and Python; ability to produce and review production-quality code as part of delivery leadership
- 08Experience designing and implementing MLOps frameworks and model lifecycle management at enterprise scale
- 09Proven ability to influence senior technical and executive stakeholders and navigate complex organizational dynamics
Условия
- 01Opportunity to work at the intersection of enterprise-scale data architecture and AI transformation
- 02Role with real influence over engagements and organizational building/delivery processes
- 03Work on hard problems with sophisticated customers shaping how world's largest companies run their data and AI platforms
- 04Fast-growing company environment that challenges ordinary thinking and pushes innovation pace