Resident Solution Architect

Design and implement scalable data pipelines using Delta Live Tables (DLT), Spark SQL, Python, or Scala Optimize ETL, streaming, and ML workloads for performance, cost efficiency, and reliability Administer and configure Databricks Workspaces, Unity Catalog, and cluster policies for secure, governed environments Automate infrastructure and deployments using Terraform, Git, and CI/CD pipelines Implement observability, cost optimization, and monitoring frameworks using tools like Splunk, Prometheus, or CloudWatch Collaborate with customers to build AI and LLM solutions leveraging MLflow, DBRX, and Mosaic AI Requirements Strong hands-on experience with Databricks, including workspace setup, notebooks, clusters, and job orchestration Expertise in Delta Lake, DLT, Unity Catalog, and SQL Warehouses Proficiency in Python or Scala for data engineering and ML workflows Strong understanding of AWS, Azure, or GCP cloud ecosystems Experience with Terraform automation, DevOps, and MLOps practices Familiarity with monitoring and governance frameworks for large-scale data platforms