Job Description

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, GEN AI

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 while enabling and optimizing real-time analytics pipelines. 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 collaborate closely on presales, support delivery teams, and lead the design and execution of POVs and POCs including GenAI features. Roles & Responsibilities: Project Role : Snowflake Senior Solution Architect Project Role Description : Architects end-to-end Snowflake solutions, including modeling, optimization, and security. Leads CoE initiatives by creating guidelines, frameworks, and reference architectures to ensure consistency and scalability across projects - 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. - Track and evangelize Snowflake's latest features, and assess their potential for client impact and internal innovation. - 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. - Establish data governance, security models, RBAC, and masking policies in line with compliance standards (e.g., SOC2, HIPAA, GDPR). - 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. - Collaborate with AI/ML teams to enable GenAI use cases leveraging Snowflake's native capabilities (e.g., Cortex-AI, Streamlit apps, LLM models, Agentic-AI framework). - Design & solution the Gen-AI based workloads which are cost efficient and performant. - Have a complete understanding of Cortex analyst, Document AI, Cortex Search, LLM functions and their key use cases. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse, Any SnowPro Advanced Certification(must). Must have skills : Snowflake Data Warehouse with GenAI Good to have skills : dbt, Fivetran - Experience or Knowledge of building or integrating Generative AI applications and experience with Snowflake Cortex. - 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.




15 years full time education