Data Architect

Role Overview:

We are seeking a Snowflake Architect who will own end-to-end data platform architecture for our clients. This role requires architectural leadership, deep Snowflake expertise, strong client engagement capability, and the ability to design scalable, secure, and cost-efficient data platforms. The Architect will define standards, design enterprise blueprints, and guide engineering teams toward best practices.

Key Responsibilities:

1. Enterprise Architecture Ownership

• Define Snowflake account strategy and environment separation (Dev / QA / Prod).
• Design multi-account and multi-region architectures where required.
• Establish reference architectures and implementation standards.

2. Data Platform Design

• Architect scalable data warehouse and data lake solutions.
• Design ingestion, transformation, and serving layers.
• Define data modeling standards (dimensional and domain-driven approaches).

3. Performance & Cost Optimization

• Design warehouse sizing and workload isolation strategies.
• Implement performance tuning best practices.
• Establish cost governance, monitoring, and optimization frameworks.

4. Security & Governance

• Design and implement RBAC frameworks.
• Define data masking, row-level security, and access control strategies.
• Establish governance, metadata, and compliance practices.

5. Data Engineering Standards

• Define pipeline frameworks using Streams, Tasks, Snowpark, and Dynamic Tables.
• Establish CI/CD practices for Snowflake deployments.
• Guide best practices for code structure, versioning, and testing.

6. Client Advisory & Stakeholder Engagement

• Lead architecture discussions with business and technical stakeholders.
• Translate business requirements into scalable technical designs.
• Support solution proposals, estimations, and technical presentations

7. Technical Leadership

• Mentor engineers and conduct architecture reviews.
• Drive internal capability development.
• Promote best practices and continuous improvement.

Required Qualifications

• 5+ years of experience in Data Engineering or Data Platform roles.
• 2+ years of experience designing and architecting Snowflake solutions.
• Strong expertise in:
• Snowflake architecture and platform design
• RBAC and governance frameworks
• Performance tuning and cost optimization
• Data modeling and warehousing concepts
• Advanced SQL proficiency.
• Experience with Snowpark (Python preferred).
• Experience designing CI/CD for data platforms.
• Hands-on exposure to at least one major cloud platform (AWS, Azure, or GCP).

Good to Have

• Snowflake Certification (SnowPro Advanced Architect preferred).
• Experience with multi-region or enterprise-scale deployments.
• Exposure to modern data architecture patterns such as data mesh.
• Experience with Iceberg tables or external table integrations.

What We Offer

• Opportunity to work on high-impact Snowflake transformations.
• Fully remote, WFH setup with culture of ownership, quality, and continuous learning.
• A focused, high-performance environment centered around Snowflake excellence.