<p>We are looking for an experienced Senior Databricks Engineer to support enterprise data initiatives. This Long-term Contract position will focus on building and enhancing scalable data solutions, including extracting data from ServiceNow and structuring it for downstream ARDoc consumption within a broader enterprise architecture program. The role will partner with engineering, analytics, and platform teams to deliver reliable, governed, and high-performing data pipelines on Databricks.</p><p><br></p><p>Responsibilities:</p><p>• Develop and maintain robust data pipelines in Databricks using Apache Spark to support enterprise reporting and analytical use cases.</p><p>• Extract and transform data from ServiceNow, then create and manage structured tables that supply ARDoc as part of a larger architecture initiative.</p><p>• Design layered data models using Delta Lake practices to improve scalability, data usability, and long-term maintainability.</p><p>• Configure and manage Databricks jobs, workflows, and compute resources to improve processing efficiency and platform stability.</p><p>• Investigate performance issues across Spark workloads and implement tuning strategies that improve speed, reliability, and cost control.</p><p>• Establish data governance practices through cataloging, lineage visibility, and secure access controls within the Databricks environment.</p><p>• Work closely with data scientists, analysts, and platform teams to deploy production-ready data assets and support advanced analytics needs.</p><p>• Provide technical guidance to other engineers by promoting engineering standards, reviewing designs, and sharing platform best practices.</p>