<div>Claroda helps organizations turn modern data and AI platforms into real business outcomes. We’ve seen firsthand how easily powerful platforms can become complex roadblocks. That’s why we’ve dedicated our expertise to one mission: helping organizations transform platform potential into real-world business outcomes. Whether you’re scaling AI or refining your data foundation, Claroda simplifies the journey. We don't just build platforms; we build the bridge between technical capability and the outcomes that truly matter to your stakeholders.</div>

Claroda

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
<ul>
<li>Define Snowflake account strategy and environment separation (Dev / QA / Prod).</li>
<li>Design multi-account and multi-region architectures where required.</li>
<li>Establish reference architectures and implementation standards.</li>
</ul>
2. Data Platform Design
<ul>
<li>Architect scalable data warehouse and data lake solutions.</li>
<li>Design ingestion, transformation, and serving layers.</li>
<li>Define data modeling standards (dimensional and domain-driven approaches).</li>
</ul>
3. Performance &amp; Cost Optimization
<ul>
<li>Design warehouse sizing and workload isolation strategies.</li>
<li>Implement performance tuning best practices.</li>
<li>Establish cost governance, monitoring, and optimization frameworks.</li>
</ul>
4. Security &amp; Governance
<ul>
<li>Design and implement RBAC frameworks.</li>
<li>Define data masking, row-level security, and access control strategies.</li>
<li>Establish governance, metadata, and compliance practices.</li>
</ul>
5. Data Engineering Standards
<ul>
<li>Define pipeline frameworks using Streams, Tasks, Snowpark, and Dynamic Tables.</li>
<li>Establish CI/CD practices for Snowflake deployments.</li>
<li>Guide best practices for code structure, versioning, and testing.</li>
</ul>
6. Client Advisory &amp; Stakeholder Engagement
<ul>
<li>Lead architecture discussions with business and technical stakeholders.</li>
<li>Translate business requirements into scalable technical designs.</li>
<li>Support solution proposals, estimations, and technical presentations</li>
</ul>
7. Technical Leadership
<ul>
<li>Mentor engineers and conduct architecture reviews.</li>
<li>Drive internal capability development.</li>
<li>Promote best practices and continuous improvement.</li>
</ul>
Required Qualifications
<ul>
<li>5+ years of experience in Data Engineering or Data Platform roles.</li>
<li>2+ years of experience designing and architecting Snowflake solutions.</li>
<li>Strong expertise in:</li>
<li>Snowflake architecture and platform design</li>
<li>RBAC and governance frameworks</li>
<li>Performance tuning and cost optimization</li>
<li>Data modeling and warehousing concepts</li>
<li>Advanced SQL proficiency.</li>
<li>Experience with Snowpark (Python preferred).</li>
<li>Experience designing CI/CD for data platforms.</li>
<li>Hands-on exposure to at least one major cloud platform (AWS, Azure, or GCP).</li>
</ul>
Good to Have
<ul>
<li>Snowflake Certification (SnowPro Advanced Architect preferred).</li>
<li>Experience with multi-region or enterprise-scale deployments.</li>
<li>Exposure to modern data architecture patterns such as data mesh.</li>
<li>Experience with Iceberg tables or external table integrations.</li>
</ul>
What We Offer
<ul>
<li>Opportunity to work on high-impact Snowflake transformations.</li>
<li>Fully remote, WFH setup with culture of ownership, quality, and continuous learning.</li>
<li>A focused, high-performance environment centered around Snowflake excellence.</li>
</ul>