Resident Solution Architect

• Work directly with enterprise customers as a trusted technical advisor
• Understand customer business and technical requirements and translate them into scalable data architectures
• Design and implement modern Lakehouse / Data + AI architectures using Databricks
• Develop and guide POCs, technical workshops, and architecture demonstrations
• Work extensively with Apache Spark / PySpark, SQL, and Databricks
• Design scalable data ingestion, transformation, and processing pipelines
• Work with Delta Lake, Unity Catalog, and Databricks platform capabilities
• Support data migration and modernization initiatives
• Integrate Databricks with AWS, Azure, or GCP
• Troubleshoot performance, scalability, reliability, and data pipeline issues
• Work with customer engineering, data science, architecture, and leadership teams
• Provide technical recommendations around data engineering, analytics, ML/AI, and cloud architecture
• Create reference architectures, technical documentation, and implementation guidance
• Support production deployment and adoption of Databricks solutions
• Conduct technical workshops, enablement sessions, and knowledge-sharing activities

• Minimum 9+ years of experience
• Strong experience with Databricks
• Strong Apache Spark / PySpark
• Strong SQL
• Strong Data Engineering fundamentals
• Experience designing data pipelines / data platforms
• Experience with Lakehouse / Data Warehouse / Big Data architecture
• Experience with at least one cloud: AWS, Azure, or GCP
• Strong customer-facing / consulting experience
• Architecture/design experience
• Excellent communication and presentation skills
• Delta Lake, Unity Catalog, MLflow, Kafka, Streaming, Data migration, MLOps, Machine Learning, GenAI, Data governance, Terraform / CI/CD, Snowflake, and Hadoop ecosystem are good-to-have skills
• Must-have skills: Data Engineering, Python, Solution Architecture
• Good-to-have skills: SQL, Azure, Databricks