Databricks Platform Lead – AI, Analytics & Automation

Vizient, Inc; Irving (TX); On-site; USD 118,000 - 206,000; Full time

Benefits offered by this job

Comprehensive benefits plan

Job summary

Vizient, Inc. seeks a senior Databricks Platform Engineer to lead the enterprise data platform, driving analytics, ML, and AI workloads across the organization.

You will design scalable architectures, deliver self-service capabilities, and establish engineering accelerators while aligning with governance and enterprise standards. You will collaborate with cross-functional teams to optimize performance, ensure security, and reduce costs across cloud environments, enabling data-driven healthcare

Qualifications

• 7+ years of relevant experience required.
• 3+ years hands-on designing and supporting Databricks platform solutions.
• Strong Azure cloud services, cloud-native architectures, enterprise platform engineering.
• Experience with Terraform, IaC, CI/CD pipelines and automation.
• Knowledge of Delta Lake, Unity Catalog, Apache Spark and lakehouse architectures.
• Databricks certification and healthcare experience preferred.

Responsibilities

• Lead design, implementation, and evolution of the enterprise Databricks platform.
• Develop reusable platform services, reference architectures, and patterns for analytics, data products, streaming, and AI workloads.
• Build IaC, CI/CD pipelines, and automation frameworks to improve scalability and reliability.
• Create self-service capabilities, templates, and accelerators for platform onboarding.
• Optimize performance, security, governance, and cost across cloud environments.
• Enable ML/AI capabilities with patterns for MLflow, Model Registry, Feature Store, Vector Search.

Skills

Azure

Terraform

CI/CD

Delta Lake

Unity Catalog

Apache Spark

MLflow

MLOps

Feature Store

Education

Advanced degree in CS/Engineering

Bachelor's degree

Tools

Databricks

Job description

Vizient, Inc. seeks a senior Databricks Platform Engineer to lead the enterprise data platform, driving analytics, ML, and AI workloads across the organization.

You will design scalable architectures, deliver self-service capabilities, and establish engineering accelerators while aligning with governance and enterprise standards. You will collaborate with cross-functional teams to optimize performance, ensure security, and reduce costs across cloud environments, enabling data-driven healthcare