Snowflake Architect

Experience: 12–18+ Years

About the Role:
We are looking for a Senior Snowflake Architect who can take full ownership of designing and delivering enterprise-grade data platforms. This is a high-impact, client-facing role where you will work directly with stakeholders to architect scalable, secure, and high-performing Snowflake solutions.

If you enjoy solving complex data challenges, influencing architecture decisions, and working at the intersection of business and technology—this role is for you.

What You'll Do:

• Lead end-to-end architecture for Snowflake-based data platforms
• Work closely with clients to understand requirements and translate them into scalable solutions
• Design modern data platforms including ingestion (batch & streaming), transformation, and consumption layers
• Architect advanced in-warehouse processing using Snowpark (Python/SQL)
• Define best practices for performance, cost optimization, security, and governance
• Drive design decisions around Snowflake features like Snowpipe, Streams, Tasks, Time Travel, and Zero-Copy Cloning
• Collaborate with engineering teams to ensure successful implementation
• Lead client discussions, architecture reviews, and solution walkthroughs

What We're Looking For:

Snowflake Expertise

• Strong hands-on experience in Snowflake architecture & enterprise implementations
• Deep understanding of virtual warehouses, micro-partitioning, clustering, and query optimization

Snowpark & Advanced Processing

• Experience designing solutions using Snowpark (Python preferred)
• Ability to handle complex transformations, custom logic, and data processing inside Snowflake

Data Engineering & Architecture

• Strong knowledge of data warehousing, lakehouse architecture, and data modeling (dimensional/data vault)
• Experience with data ingestion frameworks and pipelines
• Exposure to Azure ecosystem is a plus

Client & Consulting Skills

• Proven experience in client-facing roles
• Ability to lead discussions, explain trade-offs, and influence decisions
• Strong ownership mindset and stakeholder management skills

Nice to Have:

• Experience with Salesforce–Snowflake integrations
• Exposure to data quality, MDM, or deduplication use cases
• Knowledge of ML/analytics workloads within Snowflake
• Familiarity with CI/CD and data governance frameworks

Why Join Us?

• Work on large-scale, enterprise data transformation programs