Snowflake Architect

Role Summary

We are seeking an experienced Senior Snowflake Architectto drive Snowflake-led transformation initiatives across customers. This is a strategic practice role requiring close collaboration with customers sales pre-sales partnership and delivery teams to shape opportunities build differentiated solutions support RFPs and create
compelling value propositions. The role requires strong technical depth combined with the ability to communicate value to business and technical stakeholders.

The ideal candidate shouldpossessdeepexpertiseacross the Snowflake ecosystem including Data Engineering AI & Cortex Governance Data Sharing Data Products FinOps and Modern Data Architecture while bringing innovative thinking automation-led approaches and consultative problem-solving skills.

Key Responsibilities

As a key member of the Snowflake practice

1. Partner with sales and pre-sales teams on RFPs/RFIs proactive pitches and customer workshops translating business requirements into Snowflake-based architecture and solutions
2. Act as a trusted technical advisor in customer discussions workshops and executive briefings
3. Design end-to-end Snowflake solutions spanning data engineering data sharing governance security and performance optimization
4. Develop/design reusable accelerators automation frameworks reference architectures and solution blueprints.
5. Architect and advise on Snowflake Cortex (LLM functions Cortex Search Cortex Analyst) and AI/ML use cases on the platform
6. Define and implement data governance frameworks access control data masking row/column level security data classification lineage
7. Explore and advise on Snowflake ecosystem capabilities including SnowparkStreamlit-in-Snowflake Dynamic Tables and collaboration features (data sharing marketplace)
8. Build and present proactive value propositionsPoCs and accelerators to prospective and existing customers
9. Drive thought leadership through POVs blogs solution assets and innovation initiatives
10. Mentor junior architects/engineers and contribute to internal capability building (reusable frameworks playbooks accelerators) technical hiring community engagement and thought leadership.
11. Stay current with Snowflakes evolving roadmap and build differentiated offeringsleveraging(Cortex Horizon governance AI/ML capabilities)

Required Skills

Snowflake Expertise

• Strong understanding ofend to endSnowflake offerings
• Experience delivering at least 2 end-to-end Snowflake implementations or migrations
• Strong hands-on experience designing and implementing Snowflake architectures (multi-cluster warehouses data sharingSnowpipe Streams/Tasks Time Travel)
• Expertisein modern data architectures including Medallion Data Mesh Data Products and Lakehouse withgoodunderstanding of cloud platforms.
• Working knowledge of Snowflake Cortex (LLM functions Cortex Search/Analyst) and applying GenAI/AI use cases on Snowflake
• Understanding ofAgentic AI RAG architectures vector databases and LLM integration patterns.
• Experience with Snowflake governance and security: RBAC masking policies row access policies tagging Horizon
• Solid understanding of data modeling (dimensional Data Vault)
• Experience with ingestion tools such asFivetran Informatica ADF Qlik ReplicateGoldenGate or similar would be a value add
• Pre-sales experience RFP responses solution architecture documents effort estimation proposal writing
• Strong communicationand stakeholder management skills; comfortable presenting to CXO-level audiences
• Proactive consultative mindset able toidentifyopportunities and propose solutions without being asked
• Ability to work with global customers
• Strong ownership and ability to work in independently on ambiguous fast-moving requirements

Required Certifications

• SnowPro Core Certification (mandatory)
• SnowPro Advanced certification (preferred)

Required Skills:

Snowflake