Lead Databricks Platform Engineer for AI & Analytics

Vizient; Edina (MN); On-site; USD 118,000 - 206,000; Full time

Job summary

Vizient seeks a senior Databricks Platform Engineer to lead design, engineering, and evolution of the enterprise Databricks platform. You will drive analytics, ML, and AI workloads with scalable, secure, cost‑aware solutions.

You will collaborate with cross‑functional teams to deliver platform capabilities, reference architectures, and self‑service tooling while advancing Platform‑as‑a‑Product practices.

Qualifications

• 7+ years of relevant experience in data platforms.
• 3+ years hands-on Databricks platform design and support.
• Strong experience with Azure cloud services and cloud-native architectures.
• Experience with Terraform, CI/CD, and infrastructure automation.
• Knowledge of Delta Lake, Unity Catalog, 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 machine learning and 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

Azure

Terraform

CI/CD

Delta Lake

Model Registry

MLOps

Education

Advanced degree preferred

Tools

MLflow

Model Registry

Feature Store

Job description

Vizient seeks a senior Databricks Platform Engineer to lead design, engineering, and evolution of the enterprise Databricks platform. You will drive analytics, ML, and AI workloads with scalable, secure, cost‑aware solutions.

You will collaborate with cross‑functional teams to deliver platform capabilities, reference architectures, and self‑service tooling while advancing Platform‑as‑a‑Product practices.