Note: Need solid Architect level candidate with good communication skills, this is a customer facing role. Required Skills: Good customer presence and ability to answer a variety of Databricks questions. GitHub and CI/CD experience is a plus Day-to-day Responsibilities: Design, develop, and maintain data engineering pipelines in Databricks using PySpark or SQL Experience developing streaming pipelines using Databricks Autoloader or Structured Streaming Data Modeling experience designing Delta Lake tables and the Bronze-Silver-Gold Medallion Architecture Understanding of Spark for performance optimizations including Delta Lake optimizations Experience with cloud service provider (Azure) services used in Databricks’ implementations (e.g., Azure ALDS, IAM) Triaging ad hoc questions across the Databricks product suite Certifications Preferred Skills: FiveTran Responsibilities: Support ETL and CI/CD pipelines to create tables in the data lake. Support data refresh and reconciliation processes to validate data accuracy. Expected Deliverable(s): Data pipelines, tables, row-level security configurations, and ETL processes to automatically update datasets daily