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SnowFlake Architect
Vue: 115
Jour de mise à jour: 25-11-2025
Catégorie: Conception - Web Arts / Design IT - Logiciel
Industrie: IT Services IT Consulting
Niveau: Mid-Senior level
Type d’emploi: Contract
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le contenu du travail
- 12+ years of success in consultative deployment projects, architecture, design, implementation, and/or support of data and analytics solutions
- SnowProCertification (Mandatory)
- Experience working with a globally distributed team and managing offshore teams.
- A Bachelor’s degree in Computer Science or a Master’s degree plus or a Ph.D. plus 3-4 years of relevant experience in SNOWFLAKE and DBT is mandatory
- Understanding of enterprise data management concepts (Data Governance, Data Engineering, Data Science, Data Lake, Data Warehouse, Data Sharing, Data Applications)
- Hands-on development Design and Develop applications using Snowflake (preferably on AWS)
- Responsible for technical design, writing, support, and operations of efficient, scalable, and extensible data integrations and ingestions and participated in architecture and design efforts.
- Conduct PoCs for new technology exploration e.g., DBT for implementing SCD
- Understanding of enterprise data management concepts of (Data Governance, Data Engineering, Data Science, Data Lake, Data Warehouse, Data Sharing, Data Applications
- Experience in Snowflake Architecture including Snow SQL, Performance tuning, Compute, and Storage
- Expertise with Snowflake concepts like setting up resource monitors, RBAC controls, virtual warehouse, query performance tuning, zero-copy clone, time travel, and understanding how to use these features.
- Experience in Data Migration to Snowflake cloud data warehouse
- Expertise in using various data sources like JSON, Parquet, ORC, etc.
- Provide technology architectural assessments, strategies, and roadmaps for one or more technology domains.
- Collaborate with the customer’s operations and technology leadership on the future analytic goals of the organization and design a technical architecture to meet those goals. Participate in configuring the architecture and advise engineering teams on its efficient use.
- Develop scalable production-ready data integration and processing solutions.
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Date limite: 09-01-2026
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