Databricks Architects (Resident Solution Architects)
Usg Inc.
San Francisco, CA, United States
1 day ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source
Tech stack
Amazon Web Services
Microsoft Azure
Continuous Integration
Information Engineering
Extract Transform Load (ETL)
Data Warehousing
DevOps
Memory Management
Github
Performance Tuning
Cloud Services
Data Streaming
+10 more
Google Cloud
Apache Spark
Data Lakes
Gitlab-ci
Data Analytics
Data Management
Machine Learning Operations
Data Pipelines
Jenkins
Databricks
Job description
Job Description: We’re seeking Databricks Architects (Resident Solution Architects) to lead end-to-end Databricks implementations for public sector engagements - from data platform design through production-grade ETL/ELT delivery on the Databricks Lakehouse Platform.
Requirements
- 12-15+ years in Data Engineering, Data Platforms, Data Analytics, and Modern Data Warehouse solutions; 10+ years overall consulting/client-facing delivery
- Demonstrated success delivering 6-8+ end-to-end Databricks implementations (developer, tech lead, or architect)
- Databricks Data Engineering Professional certification (or equivalent); Databricks Solutions Architect Champion program a plus
- Strong expertise in cloud-native data platforms across AWS, Azure, and/or Google Cloud Platform
- Advanced Apache Spark knowledge - performance optimization, partitioning, execution plans, memory management
- Extensive hands-on ETL/ELT pipeline development using Databricks, Delta Lake, Structured Streaming
- Experience with DevOps/CI/CD (Azure DevOps, GitHub Actions, GitLab CI/CD, Jenkins)
- Working knowledge of MLOps - model deployment and monitoring
- Broad understanding of Databricks Lakehouse Platform: Delta Lake, Unity Catalog, Workflows, MLflow, Delta Live Tables
- Strong experience tuning large-scale distributed workloads
- Public sector experience required
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