Data Architect

Project Role :Data Architect

Project Role Description :Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.
Must have skills :Snowflake Data Warehouse, Data Engineering

Good to have skills :NAMinimum
12 year(s) of experience is required

Educational Qualification :15 years full time education
Summary:As a Snowflake Architect, you will be responsible for designing robust, secure, and high-performing Snowflake environments. You will assist in facilitating impact assessment efforts and in producing and reviewing estimates for client work requests. Your typical day will involve collaborating with cross-functional teams, analyzing requirements, designing application architecture, and providing technical guidance to ensure the successful delivery of projects. As a core contributor to the CoE, you will also collaborate closely on presales, support delivery teams, and lead the design and execution of POVs and POCs.
Roles & Responsibilities:- Project Role :Snowflake Senior Solution Architect- Project Role Description :Architects end-to-end Snowflake solutions, including modelling, optimization, and security. Leads CoE initiatives by creating guidelines, frameworks, and reference architectures to ensure consistency and scalability across projects.Snowflake Experience:Minimum 4 yearsCertifications:Any SnowPro Advanced Certified(Must).- Expected to be a SME in Snowflake with deep knowledge and experience. Collaborate with vendors to align solutions, drive CoE initiatives.- Design and implement enterprise-grade Snowflake solutions across data ingestion, storage, transformation, and access.- Create and maintain reference architectures, accelerators, design patterns, and solution blueprints for repeatability.- Lead capability growth initiatives by mentoring team members, driving POCs, and contributing to knowledge repositories.- Provide pre-sales support, including proposal creation, estimations, solutioning, and client presentations.- Define data modeling standards, physical schema designs, and best practices for structured and semi-structured data.- Possesses in-depth knowledge of Snowflakes advanced features, including Snowpark, Iceberg tables, dynamic tables, snowpipe streaming, SPCS, authentication & authorization methods, alerts, performance tuning, row level security, masking, tagging, etc.- Stay abreast of evolving Snowflake and GenAI capabilities; recommend and pilot new tools and frameworks.Professional & Technical Skills:

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Must To Have Skills:

Proficiency in Snowflake Data Warehouse, Any SnowPro Advanced Certification(must).
Good to have skills :dbt, Fivetran, GenAI features in Snowflake- Deep Expertise in Data Engineering.- Strong communication and solution architecture skills with the ability to bridge technical and business discussions.- Should have Influencing and Advisory skills.- Responsible for team decisions.Additional Information:- The candidate should have a minimum of 15 years of experience in Snowflake Data Warehouse.- This position is . Qualification 
15 years full time education