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.

Thanks & Regards Abhishek Kumar Mobile : Ext 483 Email: