Databricks Resident Solution Architect
Location: San Francisco, CA — Remote considered; must work PST hours
Duration: 8–12 Months
Work Authorization: US Citizen
Preference: Public Sector experience; Security Clearance preferred
Role Overview
Seeking an experienced Databricks Resident Solution Architect to design and deliver enterprise-scale data platforms and Databricks solutions. The ideal candidate will have strong consulting/client-facing experience and a proven record of end-to-end Databricks implementations.
Key Requirements
12–15+ years in Data Engineering, Data Platforms, Data Analytics, and Modern Data Warehousing.
10+ years of consulting/client-facing delivery experience.
6–8+ successful Databricks implementations as Developer, Technical Lead, or Solution Architect.
Advanced Databricks certification, preferably Databricks Data Engineering Professional.
Strong cloud architecture experience with AWS, Azure, and/or GCP.
Advanced Apache Spark expertise, including performance tuning and optimization.
Hands-on experience with Databricks, Delta Lake, Structured Streaming, ETL/ELT.
Strong knowledge of Unity Catalog, Workflows, MLflow, Delta Live Tables (DLT) and Lakehouse architecture.
Experience with CI/CD and DevOps using Azure DevOps, GitHub Actions, GitLab, or Jenkins.
Working knowledge of MLOps, model deployment, lifecycle management, and monitoring.
Strong troubleshooting, architecture, scalability, performance, and cost-optimization skills.
Databricks Solutions Architect Champion experience is a strong plus.
Public Sector experience and Security Clearance are preferred.
Preferred Profile
US Citizen + 12–15+ years experience + 6–8+ Databricks implementations + advanced Databricks certification + strong cloud/Spark expertise + public sector experience.