Our client RibbitZ is looking for Data Engineer (AI/BI) | Databricks-Centric to work remotely.  Job Description:  Availability: Must be available until 4:30 PM ET (USA) We are looking for an experienced Data Engineer with strong AI Platform Engineering expertise to build and scale modern data and AI solutions in a Databricks-centric environment. Key Responsibilities: • Build and scale Databricks AI/BI solutions (dashboards, Genie experiences, data pipelines) • Develop ETL/ELT pipelines using Apache Spark and Delta Lake (Medallion Architecture) • Integrate data from enterprise systems like PeopleSoft, Salesforce, and D2L • Ensure data quality, governance, and security (Unity Catalog, encryption, access control) • Enable AI/ML teams with high-quality datasets and feature stores • Design and architect cloud data lakes and data marts (ADLS, S3) • Document and enable teams on Databricks, governance, and architecture best practices • Support AIOps/MLOps workflows using MLflow (experiment tracking, model registry, deployment) Required Skills & Experience: • Strong hands-on experience with Databricks (Delta Lake, Apache Spark) • Experience building ELT pipelines and Medallion Architecture • Proficiency in SQL, Python, or Scala • Experience integrating enterprise platforms and systems • Strong knowledge of data governance and metadata management • Must have experience in AI Platform Engineering Preferred Qualifications: • Experience with Databricks Unity Catalog • Experience in AI/ML model deployment (MLflow) • Exposure to AIOps lifecycle workflows • Cloud experience with Azure or AWS • Knowledge of data warehouse design