Databricks Platform Engineer - Enterprise Automation

Vizient, Inc.; Chicago (IL); On-site; USD 102,000 - 179,000; Full time

Job summary

Vizient, Inc. is seeking an experienced professional to design, build, and enhance the enterprise Databricks platform.

You will work with Enterprise Architecture, Cloud Engineering, Data Engineering, Product Management, and Data Science to create reusable services, automation frameworks, and self-service capabilities that boost platform adoption and engineering productivity. The role emphasizes cross-functional collaboration to advance the organization’s data and AI program, requiring hands-on

Qualifications

• 5 or more years of relevant experience required.
• 2 or more years of hands-on experience with the Databricks platform required.
• Experience with Azure cloud services and cloud-native architectures preferred.
• Experience developing automation solutions and reusable engineering components.
• Experience with MLflow, MLOps, AI platform technologies, streaming, or event-driven architectures preferred.
• Strong analytical, problem-solving, collaboration, and communication skills.
• Experience supporting enterprise-scale data platforms and healthcare or other regulated environments preferred.

Responsibilities

• Develop and enhance enterprise Databricks platform capabilities that support analytics, data products, machine learning, and AI workloads.

Skills

Databricks platform expertise

Analytical skills

Problem-solving

Communication

Collaboration

Education

Relevant degree

Tools

Azure Cloud Services

Terraform

CI/CD pipelines

Databricks

Delta Lake

Unity Catalog

Apache Spark

MLflow

Job description

Vizient, Inc. is seeking an experienced professional to design, build, and enhance the enterprise Databricks platform.

You will work with Enterprise Architecture, Cloud Engineering, Data Engineering, Product Management, and Data Science to create reusable services, automation frameworks, and self-service capabilities that boost platform adoption and engineering productivity. The role emphasizes cross-functional collaboration to advance the organization’s data and AI program, requiring hands-on