Snowflake Architect

Tasks

Snowflake Architect

London UK or BeerseBelgium ( Remote/ Hybrid)

12months Contract

• Overall 15 years of experience and success in consultative deployment project architecture design implementation and/or support of data and analytics solutions

• Experience working with a globally distributed team and managing offshore teams.

• Bachelors degree in Computer Science with 4 yrs experience in SNOWFLAKE and DBT or

• Masters degree with 2 yrs experience in SNOWFLAKE and DBT or

• PhD and 01 years of relevant experience in SNOWLFAKE 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 & participate 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 understand how to use these features.

Requirements

• Experience in Data Migration to Snowflake cloud data warehouse
• Expertise in using various data sources like JSON Parquet and ORC etc.
• Provide technology architectural assessments strategies and roadmaps for one or more technology domains.
• Collaborate with the customers 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.
• Strong Oral and Communication skills and client facing skills are mandatory.