Lead Software Engineer (Databricks Platform Engineer)

Vizient; Edina (MN); In loco; USD 118.000 - 206.000; Tempo pieno

Descrizione del lavoro

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.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Databricks

Azure

Terraform

CI/CD

Delta Lake

Model Registry

MLOps

Formazione

Advanced degree preferred

Strumenti

MLflow

Model Registry

Feature Store

Descrizione del lavoro

When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Summary

In this role, you will lead the design, engineering, and evolution of the enterprise Databricks platform as a strategic capability that enables analytics, data products, machine learning, and AI solutions across the organization. You will develop reusable platform services, automation frameworks, reference architectures, and self-service capabilities that accelerate delivery while aligning with enterprise architecture, governance, and engineering standards. You will collaborate with cross-functional teams to enhance developer experience, drive platform adoption, evaluate emerging technologies, and deliver scalable, secure, and cost-effective healthcare data and AI solutions.

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.

Qualifications

• Relevant degree preferred. Advanced degree in Computer Science, Engineering, Information Systems, or a related field preferred.
• 7 or more years of relevant experience required.
• 3 or more years of hands‑on experience 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.
• Experience developing reusable platform services, automation frameworks, self‑service capabilities, and engineering accelerators.
• Experience supporting machine learning and AI platform capabilities, including MLflow, Model Registry, Feature Store, Vector Search, or MLOps practices preferred.
• Databricks certification, experience with streaming and event‑driven architectures, enterprise-scale data platforms, or healthcare industry experience preferred.

Estimated Hiring Range

At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $117,600.00 to $206,000.00.

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.