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eSolutionsFirst, LLC
Databricks Solution Architect
Career Insights for Data Architect
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Based on Virginia data
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What they do
A Data Architect develops computer databases for a company or organization. Designs, builds and implements databases and database systems that meet business requirements. Supports database administration, develops database security policies and works to prevent cyber attacks.
$152,527 / year median in Virginia
-6% projected decline
Job Description
About the Role We are seeking an experienced Databricks Resident Solutions Architect (RSA) to lead the architecture, implementation, and optimization of enterprise Databricks Lakehouse solutions. This is a hands-on, customer-facing role requiring deep Databricks expertise, strong architecture skills, and the ability to guide engineering and data teams. Key Responsibilities Lead the architecture and delivery of enterprise Databricks Lakehouse implementations. Design scalable solutions using Databricks, Delta Lake, Apache Spark, Unity Catalog, and Databricks Workflows. Provide hands-on technical leadership for complex Databricks data engineering projects. Optimize Spark and Databricks workloads for performance, scalability, reliability, and cost. Design and implement enterprise ETL/ELT pipelines using Databricks, Spark, Python, and SQL. Establish Unity Catalog governance, security, access controls, and data management practices. Support migration and modernization of legacy data platforms to Databricks Lakehouse. Implement CI/CD and DevOps practices for Databricks deployments. Partner with data science teams on MLflow, MLOps, machine learning, and GenAI/LLM workloads. Troubleshoot complex Databricks, Spark, Delta Lake, and pipeline issues. Conduct architecture workshops and advise customers on Databricks best practices and roadmap. Mentor engineering teams and serve as a trusted technical advisor to customer stakeholders. Required Qualifications 7+ years of experience in data engineering, data architecture, or cloud data platforms. 3+ years of hands-on Databricks experience with multiple enterprise implementations.