To support data engineering initiatives, the full-time Sr Databricks Certified Data Engineer will manage large-scale projects, design and deploy end-to-end data architectures, and work extensively with Databricks and cloud ecosystems in a remote environment. Key responsibilities: Design and implement scalable data pipelines and architectures using Databricks and cloud services Lead and manage large-scale data engineering projects, ensuring timely delivery and effective client communication Optimize data workflows and performance tuning for distributed computing environments using Apache Spark Required qualifications: Databricks Certified Data Engineer Professional Certification 10+ years of experience in data engineering and analytics Proficiency in Python or Scala programming languages Experience with advanced Databricks concepts, including Genie Spaces and Agents Familiarity with cloud ecosystems such as AWS, Azure, or GCP