Azure Databricks Architect

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