Databricks Developer

a { text-decoration: none; color: #464feb;}tr th, tr td { border: 1px solid #e6e6e6;}tr th { background-color: #f5f5f5;}Databricks Developer Salary: $134,910-$149,900 What You Will Do Design, develop, and maintain scalable data pipelines and ELT/ETL workflows using Databricks and Apache Spark (PySpark/Spark SQL)Build and optimize modern lakehouse architectures using Delta Lake and related data formats (e.g., Parquet, Iceberg)Develop production-grade data workflows using Databricks Workflows and/or declarative pipeline frameworksImplement data governance, security, and access controls using Unity Catalog and related enterprise frameworksSupport data migration and modernization initiatives, transitioning legacy data warehouse systems to cloud-based platformsApply medallion architecture principles (bronze, silver, gold layers) in scalable solution designImplement CI/CD pipelines and infrastructure-as-code for Databricks environments (e.g., Terraform, Databricks Asset Bundles, GitHub Actions)Monitor, troubleshoot, and resolve production data pipeline issues to ensure system reliability and performanceCollaborate with technical and business stakeholders to gather requirements and translate them into scalable data solutionsParticipate in code reviews, testing, documentation, and deployment activitiesContribute to the continuous improvement of data engineering standards, tools, and best practicesProvide technical support during solution implementation and stabilization phasesPerform other duties as required What You Will Need Bachelor’s degree in Engineering, Information Technology, Computer Science, or a related field (or equivalent experience)5+ years of data engineering experience, with at least 4+ years focused on DatabricksStrong proficiency in Apache Spark (PySpark and/or Spark SQL) and advanced SQLExperience designing and implementing solutions on AWS, Azure, or GCPProven experience in cloud modernization, data migration, and data warehousing initiativesStrong understanding of data security, messaging patterns, ELT processes, and data integration architecturesHands-on experience with cloud computing, database technologies, and data processing frameworksAbility to prioritize tasks, manage multiple responsibilities, and contribute to high-performing, collaborative teamsExcellent verbal and written communication skills, with the ability to engage effectively across technical and business audiencesHighly analytical, detail-oriented, and self-motivated, with a strong sense of ownership and urgencyDemonstrated ability to quickly learn and apply new technologies to support enterprise data solutions Highly Desired Experience facilitating technical workshops with both technical and business stakeholders to drive solution alignment and value deliveryFamiliarity with advanced analytics tools, programming languages, and data visualization platformsExperience with data integration / EAI frameworks Nice to Have Databricks certificationExperience in business analytics design and development, including exposure to best-in-class platforms and toolsWorking knowledge of business processes and enterprise systemsStrong skills in change management, communication, and business process improvement