Databricks Resident Solutions Architect (RSA) or Databricks Architect

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., * 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.

7+ years of experience in data engineering, data architecture, or cloud data platforms. * 3+ years of hands-on Databricks experience across multiple enterprise implementations., 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.