> Markdown version of [/jobs/ext/1409489-snowflake-data-architect](https://www.wearedevelopers.com/jobs/ext/1409489-snowflake-data-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Snowflake Data Architect - **Company:** VBEYOND CORP - **Location:** San Leandro, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Cloud Computing Security, Data Architecture, Data Governance, Data Transformation, Data Vault Modeling, Reverse Engineering, SAP HANA, SQL Stored Procedures, Large Language Models, Snowflake, Prompt Engineering - **Published:** July 23, 2026 - **Apply:** https://www.dice.com/job-detail/58298ea6-e482-4112-9c19-beab7f30e8cc ## About the Role 8+ years as a Data Architect, including at least 2 successful enterprise-level Snowflake implementations. Skills: Snowflake architecture (virtual warehouses, SnowPipe, clustering keys), data modeling (Inmon, Kimball, Data Vault 2.0), cloud security governance, dbt for data transformation and legacy system reverse-engineering. Hands on exp in building medallion architecture, LLM and prompt engineering. ## Description Acts as the blueprint designer for the future state, leading the evaluation of current SAP HANA modeling patterns (like Calculation Views, Stored procedures etc.) to map them into an optimized Snowflake architecture. They are responsible for defining the target data models, cloud data warehousing standards, storage/compute topology, and data governance frameworks that ensure the new Snowflake environment is scalable, secure, and cost-effective. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Evolving the developer experience in the age of AI](https://www.wearedevelopers.com/videos/100201-evolving-the-developer-experience-in-the-age-of-ai) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters)