> Markdown version of [/jobs/ext/4588391-senior-databricks-engineer](https://www.wearedevelopers.com/jobs/ext/4588391-senior-databricks-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Databricks Engineer - **Company:** BCforward - **Location:** Plano, TX, United States - **Experience:** Expert - **Salary:** $153,234 - **Contract:** Contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Security, Data Warehousing, DevOps, Github, Oracle (Applications), Performance Tuning, Role-Based Access Control, Power BI, Cloud Services, Systems Integration, Google Cloud, Informatica Powercenter, Git, Data Lakes, Infrastructure Automation Frameworks, Data Lineage, Deployment Automation, Machine Learning Operations, Terraform, Jenkins, Databricks - **Published:** November 5, 2026 - **Apply:** https://www.dice.com/job-detail/64877990-5650-460a-a908-76b75f88f4b7 ## About the Role We are seeking a Senior Databricks Engineer to join our dynamic team. The ideal candidate will have strong experience in Databricks Lakehouse Platform, Delta Lake, Unity Catalog, Delta Sharing, and CI/CD and a proven ability to design, optimize, govern, and migrate enterprise data solutions from Oracle to Databricks., * 5+ years of Data Engineering experience. * 3+ years of hands-on Databricks implementation experience. * Strong knowledge of Databricks Lakehouse Platform, Delta Lake, Unity Catalog, and Delta Sharing. * Experience implementing RBAC, security, governance, and data lineage solutions. * Proven experience with Databricks performance tuning and cost optimization. * Experience implementing CI/CD pipelines using Git, Azure DevOps, GitHub, Jenkins, or similar tools. * Experience with cloud data platforms on Azure, AWS, or Google Cloud Platform. * Strong understanding of data warehousing concepts and modern data architectures. * Excellent communication and stakeholder collaboration skills. * Experience level: 7+ years overall. Role type: Individual Contributor / Technical SME. Preferred Skills: * Experience with Oracle to Databricks migration and modernization programs. * Familiarity with Informatica PowerCenter and/or Informatica IDMC. * Experience with Databricks Genie, AI/BI Dashboards, and Databricks SQL. * Integration experience with Power BI. * Knowledge of Databricks Workflows, Auto Loader, Delta Live Tables (DLT), Lakeflow, and MLflow. * Experience with Infrastructure as Code tools such as Terraform. * Databricks certifications. ## Description * Design and implement scalable data solutions on the Databricks Lakehouse Platform. * Partner with Application Leads and Engineering teams to define implementation approaches and best practices. * Optimize Databricks environments for performance, scalability, reliability, and cost efficiency. * Implement and support Unity Catalog, data governance, lineage, and security controls including RBAC. * Design and manage data access controls and enable Delta Sharing for secure data exchange. * Support Oracle-to-Databricks modernization and migration initiatives. * Establish and enhance CI/CD processes, deployment automation, and DevOps best practices. * Design, build, and manage semantic data models and business layers for Databricks SQL, AI/BI Dashboards, Genie, Power BI, and enterprise analytics. * Develop standards, reusable patterns, and implementation guidance for application teams.