Databricks Resident Solutions Architect (RSA) or Databricks Architect

Hi,

I m reaching out regarding an exciting opportunity for a Databricks Resident Solutions Architect (RSA) or Databricks Architect with our client in Vienna, VA. Please respond to me if you are really interested in this role. I d be happy to discuss the opportunity and next steps with you.

Role: Databricks Resident Solutions Architect (RSA) or Databricks Architect 
Location: Vienna, VA   Onsite
Job Type: Contract / Full-Time
Experience: 7  Years
 Job Summary 
We are seeking an experienced Databricks Resident Solutions Architect (RSA) to lead the architecture, implementation, optimization, and modernization of enterprise Databricks Lakehouse solutions.

This is a highly hands-on, customer-facing role requiring deep expertise in Databricks, Delta Lake, Apache Spark, Unity Catalog, PySpark, Python, SQL, ETL/ELT, cloud data platforms, and data architecture. The RSA will provide technical leadership to engineering and data teams while serving as a trusted advisor to customer stakeholders.

Key Responsibilities

• Lead architecture and delivery of enterprise Databricks Lakehouse implementations.

• Design scalable solutions using Databricks, Delta Lake, Apache Spark, Unity Catalog, and Databricks Workflows/Jobs.

• Provide hands-on technical leadership for complex data engineering initiatives.

• Optimize Spark and Databricks workloads for performance, scalability, reliability, and cost.

• Design and implement enterprise ETL/ELT pipelines using Databricks, Spark, Python, PySpark, and SQL.

• Establish Unity Catalog governance, security, access controls, and data management practices.

• Support migration and modernization of legacy data warehouses and data lake platforms to Databricks.

• Implement CI/CD and DevOps practices for Databricks deployments.

• Partner with data science teams on MLflow, MLOps, Machine Learning, GenAI, and 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 provide technical guidance 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 across multiple enterprise implementations.

• Strong expertise in:

  • Databricks Lakehouse Platform

  • Delta Lake

  • Apache Spark

  • Unity Catalog

  • Databricks Workflows/Jobs

  • Databricks SQL

  • ETL/ELT

  • Data Engineering

• Strong Python, PySpark, and SQL skills.

• Experience with Azure Databricks, AWS Databricks, or Databricks on Google Cloud Platform.

• Strong understanding of Spark performance tuning and distributed processing.

• Experience with CI/CD, DevOps, MLOps, and MLflow.

• Strong understanding of Databricks governance, security, and data architecture.

• Excellent customer-facing consulting, communication, presentation, and problem-solving skills.

• U.S. work authorization without current or future visa sponsorship.

Preferred Qualifications

• Databricks Certified Data Engineer Professional certification.

• Databricks Solutions Architect certification.

• Experience with Generative AI, LLMs, Vector Search, Model Serving, and Mosaic AI.

• Experience with Structured Streaming and real-time data processing.

• Experience migrating enterprise data warehouses/data lakes to Databricks.

• Previous experience in consulting, professional services, or customer-facing architecture roles.