> Markdown version of [/jobs/ext/3465570-lead-data-engineer-snowflake](https://www.wearedevelopers.com/jobs/ext/3465570-lead-data-engineer-snowflake). 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). --- # Lead Data Engineer - Snowflake - **Company:** Capgemini - **Location:** Atlanta, GA, United States - **Experience:** Expert - **Salary:** $165,000.0 - $190,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, ARM Architecture, Cloud Computing, Cloud Foundry, Information Systems, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Integrated Development Environments, Python (Programming Language), OpenFlow, Role-Based Access Control, SQL Stored Procedures, Snowflake, Git, Data Lakes, AI Platforms, Information Technology, Data Analytics, Data Management, Machine Learning Operations, Streamlit Framework, Software Version Control, Data Pipelines - **Published:** September 16, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=104c105211868885 ## About the Role * Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.7+ years of experience in Data Engineering, Data Architecture, or Analytics Engineering. * Strong hands-on experience designing and implementing data platforms on Snowflake. * Proven expertise in: + Unified Data & AI platform architecture + Medallion architecture implementation + ELT/ETL pipeline development + Data warehousing and data lake concepts * Deep experience with ## Description We are seeking an experienced Senior Snowflake Data & AI Platform Engineer to design, build, and optimize enterprise-scale Data & AI platforms on Snowflake. The ideal candidate will possess deep expertise in modern data architecture, Medallion data modeling, data engineering, AI/ML enablement, governance, and cloud-native platform development. This role will be instrumental in delivering scalable, secure, and business-centric data products while leveraging Snowflake's latest AI, analytics, and governance capabilities., * Design and implement enterprise-wide Unified Data & AI Platforms leveraging Snowflake. * Architect and develop scalable Medallion Layer (Bronze, Silver, Gold) data models and frameworks. * Build and maintain high-performance ELT pipelines utilizing: + Snowflake Dynamic Tables + dbt + Tasks & Stored Procedures + Snowpipe + Snowflake Openflow Connect * Develop AI-powered solutions using the Snowflake Cortex ecosystem, including: * + Cortex Analyst + Cortex Search + Cortex Agents + Snowpark ML + Python + Streamlit + MLOps frameworks * Design and implement secure, governed data environments using Snowflake Horizon. * Establish and maintain Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC) frameworks. * Collaborate with business and technology teams to develop customer-centric and domain-oriented data products.Implement CI/CD processes and Git-integrated development workflows. * Monitor, optimize, and improve platform performance, scalability, and cost efficiency. * Partner with architects, data scientists, analysts, and business stakeholders to deliver data-driven solutions. * Ensure adherence to security, governance, compliance, and data quality standards., + Snowflake Dynamic Tables + dbt + Snowpipe + Tasks + Stored Procedures + Openflow Connect * Hands-on experience with Snowflake AI and ML capabilities: + Cortex Analyst + Cortex Search + Cortex Agents + Snowpark ML + Streamlit + Python + MLOps practices * Strong understanding of Snowflake security, governance, and data management capabilities, including Horizon. * Experience implementing RBAC and ABAC security models. * Experience with Git-based source control and modern ELT frameworks.Strong cloud platform experience with AWS. * Excellent communication, stakeholder management, and problem-solving skills. ## 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) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [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) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) - [Beyond SQL Generation: How to Teach Agents What Your Database Actually Means](https://www.wearedevelopers.com/videos/100127-beyond-sql-generation-how-to-teach-agents-what-your-database-actually-means) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers)