Staff Data Engineer, Azure Databricks Platform

Job not on LinkedIn

🕒 October 21

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $130.3k - $260.6k / year

⏰ Full Time

🔴 Lead

☁️ Cloud Engineer

👻 Ghost score 0%

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📋 Description

• Oversee the operational health of the Azure Databricks platform • Maintain and enhance monitoring, logging, and alerting solutions • Lead incident response and perform root cause analysis • Maintain and enhance core Azure Databricks components • Define the platform strategic roadmap and adopt new features, services, and best practices • Enforce and enhance data security and governance policies • Manage Unity Catalog for fine-grained access control, data lineage, and regulatory compliance • Implement platform-level cost management and performance tuning • Optimize Databricks clusters and workloads • Maintain automated provisioning, scaling, and resource management using Terraform and GitHub CI/CD pipelines • Mentor data engineers and Azure Databricks platform engineers • Develop reusable patterns and libraries and provide technical support and training • Partner with data engineering and business teams to understand platform needs • Collaborate with security, networking, and infrastructure teams • Oversee and direct 2 platform engineers

🎯 Requirements

• 8+ years of experience in a hands-on engineering role focused on cloud data platforms, distributed systems, and data engineering • Deep, hands-on experience with Azure Databricks, including administration, cluster management, job orchestration, Delta Lake, and Unity Catalog • Expert-level knowledge of Azure, including Azure Data Lake Storage (ADLS), Azure Active Directory (AAD), and networking components • Strong proficiency in Terraform, Python, Apache Spark/PySpark, SQL, and Shell scripting • Proven experience with Infrastructure as Code and automated CI/CD pipelines • Strong understanding of distributed computing principles and large-scale data systems • Exceptional analytical and problem-solving skills • Excellent communication, documentation, and presentation skills • 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 • Experience with Azure Synapse, Kafka, or Snowflake preferred • Familiarity with healthcare data and healthcare insurance feeds preferred

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• CVS Health bonus, commission or short-term incentive program • Equity award program • Medical coverage • Dental coverage • Vision coverage • Paid time off • Retirement savings options • Wellness programs • Other resources supporting physical, emotional, and financial well-being

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