Resident Solution Architect (Databricks)

Job details

Work model

Remote

Salary

Not listed by source

Location

remote

Job description

About the Role We are a privately held IT and MarTech consultancy working with enterprise clients across regulated industries. We are looking for a senior, hands-on Resident Solution Architect with deep expertise in the Databricks Lakehouse Platform to join our team on a W2 contract basis. In this role, you will lead and deliver large-scale Databricks implementations, advise clients on platform best practices, and serve as a trusted technical authority across data engineering and analytics engagements. What You'll Do • Architect, design, and deliver end-to-end Databricks implementations for enterprise clients. • Serve as a hands-on solution architect, guiding technical teams through complex data platform builds. • Apply deep knowledge of the Databricks Lakehouse Platform - including current capabilities, Delta Lake, and best practices - to drive client outcomes. • Leverage Apache Spark expertise (including runtime internals) for performance tuning, optimization, and scalability of large-scale data platforms. • Design and support CI/CD pipelines for production data platform deployments. • Advise on and implement MLOps workflows in collaboration with data science teams. • Work across one or more major cloud platforms (AWS, Azure, GCP) to deliver scalable, cloud-native solutions. • Translate complex technical requirements into actionable architectural recommendations for both technical and non-technical stakeholders. What We're Looking For Required: • Must be authorized to work in the United States without visa sponsorship (W2 contract - no C2C or 1099). • 10+ years of consulting experience, with 7+ years focused on Data Engineering, Data Platforms, and Analytics. • Hands-on delivery of 6–8+ Databricks implementation projects at enterprise scale. • Strong understanding of the Databricks Lakehouse Platform, including platform capabilities and best practices. • Deep expertise in Apache Spark and distributed computing, including Spark runtime internals. • Completed Databricks Data Engineering Professional Certification. • Hands-on experience with at least one major cloud platform: AWS, Azure, or GCP. • Proven experience with performance tuning, optimization, and scalability of large-scale data platforms. • Solid understanding of CI/CD pipelines for production deployments. • Working knowledge of MLOps principles and tooling. Nice to Have: • Multi-cloud experience spanning two or more of AWS, Azure, and GCP. Compensation & Benefits • Pay Rate: Up to $80/hr on W2 • W2 contract engagement Location • Based in San Ramon, CA • Visa sponsorship is not available for this role - candidates must be authorized to work in the US without sponsorship. Find more English Speaking Jobs in Germany on Arbeitnow