Resident Solution Architect (Databricks)

📋 Description

• Lead end-to-end Databricks implementations from architecture to production
• Advise clients on Lakehouse architecture and best practices
• Design scalable, resilient data platforms for enterprise workloads
• Optimize distributed data systems for performance and scalability
• Implement cloud-based solutions on AWS, Azure, or GCP
• Support CI/CD pipelines and apply MLOps patterns

🎯 Requirements

• 10+ years consulting, 7+ in data engineering/platforms
• 6-8+ enterprise Databricks implementation projects
• Expert in Apache Spark and distributed computing
• Deep Databricks Lakehouse Platform knowledge
• Cloud experience (AWS, Azure, or GCP)
• CI/CD and MLOps experience

🎁 Benefits

• Fully remote from anywhere in North America
• Lead enterprise-scale Databricks transformations
• Exposure to complex data environments and cloud tech
• Hands-on work in data engineering, CI/CD, MLOps
• Senior client advisory and leadership opportunities
• Shape production-grade data infrastructure