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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Data Engineer (Azure Databricks Platform) - **Company:** CVS Health - **Location:** United States - **Experience:** Expert - **Salary:** $130,295.0 - $260,590.0 - **Contract:** Permanent contract - **Skills:** Computing Platforms, Microsoft Azure, Big Data, Cloud Computing, Cloud Engineering, Computer Networks, Continuous Integration, Information Engineering, Data Governance, Data Security, Data Systems, Distributed Systems, Github, Python (Programming Language), Performance Tuning, Azure Active Directory, Cloud Services, Azure Data Lake, Shell Script, SQL Databases, Trusted Systems, Data Logging, Scripting, Snowflake, Apache Spark, Data Lakes, Pyspark, Infrastructure Automation Frameworks, Information Technology, Data Lineage, Apache Kafka, Terraform, Azure Synapse Analytics, Databricks - **Published:** October 23, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b52fd15bd165a891 ## About the Role * Experience: 8+ years of experience in a hands-on engineering role with a focus on cloud data platforms, distributed systems, and data engineering. * Azure Databricks Expertise: Deep, hands-on experience with the Azure Databricks platform, including its administration, cluster management, job orchestration, and key features like Delta Lake and Unity Catalog. * Cloud Proficiency: Expert-level knowledge of the Azure ecosystem, including Azure Data Lake Storage (ADLS), Azure Active Directory (AAD), and networking components. * Programming & Scripting: Strong proficiency in Terraform, Python, Apache Spark/PySpark, SQL, and Shell scripting. * Infrastructure as Code & CI/CD: Proven experience with Infrastructure as Code tools (e.g., Terraform) and building automated CI/CD pipelines for platform and data application deployments. * Distributed Systems: A strong understanding of distributed computing principles and the architecture of large-scale data systems. * Problem-Solving: Exceptional analytical and problem-solving skills with a track record of diagnosing and resolving complex, platform-level issues. * Communication: Excellent communication, documentation, and presentation skills, with the ability to influence technical and business stakeholders. Preferred Skills * Experience with other data technologies (e.g., Azure Synapse, Kafka, Snowflake). * Familiarity with healthcare data and healthcare insurance feeds is a significant plus Education * Bachelor's or Master's degree in Computer Science, Engineering, or a related field. * Relevant certifications such as Microsoft Certified: Azure Solutions Architect Expert, Databricks Certified Data Engineer Professional, and Databricks Certified Platform Administrator ## Description Staff Data Engineer-Azure Databricks Platform We're looking for a highly skilled Platform Staff Engineer to lead the development and maintenance of our Databricks platform, supporting our healthcare delivery initiatives. You will be a hands-on leader, responsible for the architecture, implementation, and operational excellence of our data platform. You will be responsible for ensuring the platform's reliability, performance, and security, while also driving its strategic evolution to meet future business needs. This position requires a blend of deep technical expertise, a proactive mindset, and a commitment to operational excellence. This role sits at the intersection of platform engineering, cloud engineering, data governance, and developer enablement, requiring a blend of deep technical expertise, strategic thinking, and a passion for building scalable, reliable, and secure systems. You will be a trusted partner for our data engineers ensuring they have the tools and best practices to drive business value. Responsibilities * Operational Excellence: Oversee the operational health of the platform. Maintain and enhance monitoring, logging, and alerting solutions to proactively identify and resolve issues. Lead incident response and perform root cause analysis for platform-wide problems. * Platform Architecture & Strategy: Maintain and enhance the core components of our Azure Databricks environment. Define the strategic roadmap for the platform, including the adoption of new features, services, and best practices (e.g., Delta Lake, Unity Catalog, Databricks Workflows. Github CI/CD). * Security & Governance: Manage the enforcement and enhancement of data security and governance policies. Manage the Unity Catalog to ensure fine-grained access control, data lineage, and compliance with internal and external regulations. * Performance & Cost Optimization: Implement strategies for cost management and performance tuning at a platform level. Provide guidance and tooling to optimize Databricks clusters and workloads to maximize efficiency and minimize cloud spend. * Tooling & Automation: Maintain and enhance automated solutions for provisioning, scaling, and managing Databricks workspaces and resources using Infrastructure as Code (Terraform) and CI/CD pipelines (GitHub). * Developer Enablement: Serve as a subject matter expert and mentor to other data engineers and Azure databricks platform engineers. Develop and advocate for best practices, create reusable patterns and libraries, and provide expert-level technical support and training to data teams. * Cross-Functional Collaboration: Partner with data engineering and business teams to understand their needs and maintain and enhance a platform that empowers them. Work with security, networking, and other infrastructure teams to ensure a cohesive and secure environment. * Leading the Platform Engineers: Overseeing and directing the efforts of 2 platform engineers.