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 : NA
Minimum 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 years Certifications: 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 Snowflake’s 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: - 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 PAN India.