Acumenz Consulting · 7 hours ago
Senior Azure Data Platform Engineer with Healthcare Domain | Remote
United States
Contract
Remote
Senior Level
5+ years expAcumenz Consulting is seeking a Senior Data Platform Engineer to join their team responsible for the Azure Databricks data engineering platform. This role involves maintaining platform health, optimizing performance, and providing technical guidance to data engineering teams.
ConsultingInformation TechnologyIT InfrastructureMobile Apps
No H1B
U.S. Citizen OnlyHiring Manager
Harshvardhini Munwar
Responsibilities
● Platform Maintenance & Operations: Maintain the day-to-day operational health of the platforms, including monitoring system performance, managing upgrades, and ensuring platform stability
● Performance and Cost Optimization: Actively monitor and analyze platform usage to identify and implement optimizations. This includes fine-tuning jobs, optimizing cluster configurations, and identifying opportunities for cost savings
● Platform KPIs Reporting: Develop and maintain KPI dashboards for Platform KPI reporting in terms of Reliability & Stability, Performance & Scalability, Innovation & Enablement, Cost & Utilization Monitoring, Data Quality & Governance for reporting to leadership and other stakeholders
● Security and Governance: Maintain and enhance security and governance policies within the Databricks environment, with a strong focus on using Unity Catalog to manage data access, lineage, and compliance
● Advanced Troubleshooting: Provide advanced technical support for complex issues escalated by data teams. Diagnose and resolve platform-level problems, and perform root cause analysis (RCA) to prevent future incidents
● Tooling and Automation: Maintain and enhance automated scripts and CI/CD pipelines to streamline administrative tasks and improve the efficiency of platform deployment and management
● Platform Enhancement: Collaborate with internal teams to understand their needs and contribute to the platform's roadmap. Help design and implement new features, services, and best practices to improve the user experience
Qualification
Required
5+ years of hands-on experience in a data engineering, platform engineering, or DevOps role with a significant focus on cloud data platforms
Strong practical experience in managing and operating an Azure Databricks environment. Proven ability to work with core features like Delta Lake, Unity Catalog, and Apache Spark. Relevant certifications such as Microsoft Certified: Azure Solutions Architect Expert, Databricks Certified Data Engineer Professional, and Databricks Certified Platform Administrator
Solid working knowledge of the Azure ecosystem, including Azure Data Lake Storage (ADLS), Azure Active Directory (AAD), and cloud networking concepts
A solid understanding of distributed computing principles and experience troubleshooting issues in a distributed environment
Strong proficiency in Terraform, Python, Apache Spark/PySpark, SQL, and Shell scripting
Proven experience with Infrastructure as Code tools (e.g., Terraform) and building automated CI/CD pipelines for platform and data application deployments
Demonstrated experience in contributing to the operational stability and performance of a production platform
Excellent communication, documentation, and presentation skills, with the ability to influence technical and business stakeholders
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Preferred
Familiarity with healthcare data and healthcare insurance feeds
Familiarity with Data Analytics and reporting
Familiarity with ML/AI
Company
Acumenz Consulting
Acumenz Consulting Inc. offers strategic consulting with a focus on Enterprise Solutions, Custom Solutions, and Business Intelligence.
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase