> Markdown version of [/jobs/ext/1911587-snowflake-architect-implementation-consultant](https://www.wearedevelopers.com/jobs/ext/1911587-snowflake-architect-implementation-consultant). 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 Architect / Implementation Consultant - **Company:** BRAINDO LLC - **Location:** Philadelphia, PA, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, ARM Architecture, Code Review, Databases, Extract Transform Load (ETL), Data Structures, Data Warehousing, Microsoft SQL Server, Performance Tuning, Role-Based Access Control, Power BI, Standard Sql, Tableau (Software), Large Language Models, Snowflake, Data Layers, Core Data, Star Schema, Data Pipelines - **Published:** August 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=68c7fa0185bf15c7 ## About the Role * 3+ years working directly with Snowflake as a core data warehouse platform. * 2+ end-to-end Snowflake implementation or migration projects (design through production cutover). * Strong SQL and data modeling skills; comfortable with star/snowflake schemas and analytics-friendly design. * Experience with role-based access control, security, and governance in Snowflake. * Practical understanding of Snowflake cost drivers and performance optimization. * Comfort partnering with a consultancy: we own the client relationship and business context; you own deep Snowflake execution and architectural guidance. Nice to have (not required): * Experience with dbt, Fivetran/other ELT tools, and modern BI tools (e.g., Sigma, Power BI, Tableau). * Exposure to AI/LLM use cases on top of Snowflake (Cortex, semantic layers, etc.). ## Description BrainDo is expanding our data and analytics practice and needs an experienced Snowflake specialist to guide and lead migrations. The focus is on architecture, migration planning, and hands-on implementation support for client projects., * Design and review Snowflake environments (accounts, databases, schemas, warehouses, RBAC). * Lead or advise on data warehouse migrations into Snowflake (especially from SQL Server or similar systems). * Define migration phases: assessment, design, extraction/loading, validation, and cutover. * Build or review ELT pipelines into Snowflake (staging, copy, merge, incremental loads). * Advise on cost and performance tuning (warehouse sizing, query patterns, clustering, caching). * Collaborate with BrainDo's analytics and business teams to align data structures with reporting and self-service needs. * Provide architecture and code reviews, and occasional hands-on implementation support, during active client engagements., * Fractional / contract role - remote. * Initial engagement focused on architecture review and migration planning for one client, with option to extend into ongoing implementation support. * Expected cadence: 5-20 hours per week during active phases; flexible based on project demand. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [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) - [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) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [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) - [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 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [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)