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We are currently working with a growing consulting organization that is looking to bring on an Azure Databricks Architect to support a large-scale modern data platform initiative.
This role is fully remote, however the consultant must be based in the Chicago area in order to collect company equipment on day one.
Responsibilities
• Lead the architecture and design of enterprise data platforms built on Azure and Databricks
• Design scalable Lakehouse architectures using Databricks, Delta Lake, and Azure Data Services
• Work closely with engineering teams to guide implementation of best practices across data engineering, performance optimization, and cost management
• Collaborate with business stakeholders to translate requirements into technical architecture
• Provide technical leadership across ingestion frameworks, orchestration, and data governance
• Support modernization of legacy data platforms into cloud-native architectures
Required Experience
• Extensive experience designing and implementing Azure Databricks solutions
• Strong background in Azure data ecosystem (ADLS, ADF, Synapse, etc.)
• Deep understanding of Lakehouse architecture and Delta Lake
• Experience building scalable data pipelines and distributed data processing frameworks
• Strong stakeholder communication and architecture leadership experience
• Previous consulting or client-facing delivery experience is highly desirable
Nice to Have
• Databricks certifications
• Experience with Unity Catalog, MLflow, or Databricks Serverless
• Experience supporting AI/ML workloads on Databricks
Remote working/work at home options are available for this role.