Databricks Solution Architect

We're seeking a hands-on experience in Databricks with deep technical expertise in building and optimizing Lakehouse-based data and AI solutions. In this role, you'll design, develop, and operationalize Delta Lakehouse architectures using Databricks, driving real-world outcomes for enterprise customers. You'll take ownership of implementation tasks, lead technical delivery, and mentor engineering teams in best practices across data engineering, governance, and AIKey ResponsibilitiesDesign and implement scalable data pipelines using Delta Live Tables (DLT), Spark SQL, Python, or ScalaOptimize ETL, streaming, and ML workloads for performance, cost efficiency, and reliabilityAdminister and configure Databricks Workspaces, Unity Catalog, and cluster policies for secure, governed environmentsAutomate infrastructure and deployments using Terraform, Git, and CI/CD pipelinesImplement observability, cost optimization, and monitoring frameworks using tools like Splunk, Prometheus, or CloudWatchCollaborate with customers to build AI and LLM solutions leveraging MLflow, DBRX, and Mosaic AIRequirementsRequired Skills & ExperienceStrong 10+ hands-on experience with Databricks, including workspace setup, notebooks, clusters, and job orchestrationExpertise in Delta Lake, DLT, Unity Catalog, and SQL WarehousesStrong 8+ Years of experience with SparkProficiency in Python or Scala for data engineering and ML workflowsStrong understanding of AWS, Azure, or GCP cloud ecosystemsExperience with Terraform automation, DevOps, and MLOps practicesFamiliarity with monitoring and governance frameworks for large-scale data platforms