Lead Databricks Platform Engineer for AI & ML Solutions

Vizient, Inc.; Irving (TX); On-site; USD 117,600 - 206,000; Full time

Job summary

Vizient, Inc. seeks a senior Databricks platform engineer to design, implement, and evolve the enterprise Databricks platform as a strategic capability enabling analytics, data products, ML, and AI across the organization.

You will build reusable services, IaC, CI/CD pipelines, and self-service templates, while partnering with Enterprise Architecture, Cloud Engineering, Data Science, and product teams to deliver scalable, secure, and cost‑effective healthcare data and AI solutions.

Qualifications

• 7+ years of relevant experience required.
• 3+ years hands-on designing, implementing, and supporting Databricks platform solutions required.
• Strong experience with Azure cloud services, cloud-native architectures, and enterprise platform engineering required.
• Experience with Terraform, Infrastructure-as-Code, and CI/CD pipelines, and infrastructure automation.
• Strong knowledge of Delta Lake, Unity Catalog, Apache Spark, and lakehouse architectures.

Responsibilities

• Lead the design, implementation, and continuous evolution of the enterprise Databricks platform and supporting architecture.
• Develop reusable platform services, reference architectures, engineering standards, and implementation patterns for analytics, data products, streaming, and AI workloads.
• Build Infrastructure-as-Code, CI/CD pipelines, and automation frameworks to improve platform scalability, reliability, and operational efficiency.
• Create self‑service capabilities, reusable templates, and engineering accelerators that simplify platform onboarding and deployment.
• Optimize platform performance, scalability, security, governance, and cost efficiency across cloud environments.
• Enable ML/AI platform capabilities by implementing patterns for MLflow, Model Registry, Feature Store, Vector Search, and other Databricks technologies.
• Partner with Enterprise Architecture, Data Engineering, Product Management, Cloud Engineering, Data Science, and client stakeholders to deliver enterprise platform capabilities.
• Evaluate emerging Databricks features and cloud technologies, lead proof‑of‑concepts, and recommend platform enhancements that support business objectives.
• Provide technical leadership, mentoring, and engineering guidance while promoting Platform-as-a-Product principles and engineering best practices.
• Drive continuous improvement through automation, innovation, and adoption of enterprise platform standards.

Skills

Databricks design

Azure cloud

CI/CD pipelines

Infrastructure as Code

Platform engineering

ML/AI support

Education

Advanced degree in CS/Engineering/IS

Tools

Terraform

Delta Lake

Unity Catalog

Apache Spark

MLflow

Model Registry

Feature Store

Vector Search

Job description

Vizient, Inc. seeks a senior Databricks platform engineer to design, implement, and evolve the enterprise Databricks platform as a strategic capability enabling analytics, data products, ML, and AI across the organization.

You will build reusable services, IaC, CI/CD pipelines, and self-service templates, while partnering with Enterprise Architecture, Cloud Engineering, Data Science, and product teams to deliver scalable, secure, and cost‑effective healthcare data and AI solutions.