Responsible AI Technology Lead

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
Good to have skills : NA
Minimum 18 year(s) of experience is required
Educational Qualification : 15 years full time education

Job Description

Project Role : Enterprise 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.

Must have skills : Snowflake Data Warehouse with Deep Knowledge of GenAI and Agentic AI Features
Good to have skills : dbt, Fivetran, Python
Overall Experience: 18-20 years

Snowflake Experience: Minimum 4 years

Certifications: Any SnowPro Advanced Certified
Educational Qualification : 15 years full time education


Summary:
As a Senior Enterprise Architect – Snowflake, you will lead the design and governance of scalable, secure, and high-performance Snowflake platforms that support enterprise data modernization, AI/GenAI adoption, and real-time analytics. You will drive architecture strategy, shape solution roadmaps, and provide executive-level technical leadership across complex transformation initiatives. The role involves partnering with business and technology stakeholders to assess impact, define solution approaches, and review estimates for strategic client opportunities. As a key leader within the CoE, you will influence presales, establish reference architectures and best practices, and lead high-value POVs and POCs that accelerate innovation and enterprise adoption of Snowflake and GenAI capabilities.



Roles & Responsibilities:
- 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, Agentic AI 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).


Professional & Technical Skills:
- Must To Have Skills: Proficiency in Snowflake Data Warehouse, Any SnowPro Advanced Certification
- 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.