Senior Software Engineer (Databricks Platform Engineer)

Vizient, Inc; Irving (TX); On-site; USD 102,400 - 179,000; Full time

Job summary

Vizient, Inc. is seeking an experienced platform engineer to design, build, and optimize the enterprise Databricks platform supporting analytics, data products, ML, and AI initiatives across the organization.

You will implement scalable architectures, IaC solutions using Terraform, and CI/CD pipelines while creating reusable templates to enable self-service delivery. Collaboration with EA, Cloud, Data Eng, PM, and Data Science teams is essential to success.

Qualifications

• 5+ years of relevant data/platform experience.
• 2+ years hands-on Databricks experience.
• Experience with Terraform and CI/CD pipelines.
• Strong knowledge of Delta Lake, Unity Catalog, Apache Spark, lakehouse architectures.
• Experience with MLflow, MLOps, AI platform technologies.
• Experience with healthcare or regulated environments preferred.

Responsibilities

• Develop and enhance enterprise Databricks platform capabilities to support analytics, data products, ML, and AI workloads.
• Implement platform architectures, engineering standards, and reusable design patterns.
• Build and maintain Infrastructure-as-Code solutions, CI/CD pipelines, and platform automation.
• Create reusable templates, accelerators, and deployment patterns for self-service adoption.
• Optimize platform scalability, performance, reliability, and cost across cloud environments.
• Collaborate with EA, Cloud Eng, Data Eng, PM, and Data Science teams to operationalize capabilities.
• Support platform services including MLflow, Model Registry, Feature Store, Vector Search, and related Databricks features.
• Evaluate emerging Databricks features and cloud technologies via assessments and POCs.
• Recommend platform enhancements and engineering best practices to improve developer experience and maturity.
• Contribute to evolution of enterprise platform standards and strategic roadmap initiatives.

Skills

Databricks platform

Azure cloud

Terraform

CI/CD pipelines

Delta Lake

Apache Spark

MLOps / ML platforms

Automation & reusable components

Communication & collaboration

Education

Relevant degree

Tools

Terraform

MLflow

Unity Catalog

Delta Lake

Apache Spark

Azure

Job description

In this role, you will design, build, and enhance the enterprise Databricks platform to support analytics, data products, machine learning, and AI initiatives across the organization.

Responsibilities

• Develop and enhance enterprise Databricks platform capabilities that support analytics, data products, machine learning, and AI workloads.
• Implement platform architectures, engineering standards, and reusable design patterns aligned with enterprise technology strategies.
• Build and maintain Infrastructure-as-Code solutions, CI/CD pipelines, and platform automation to improve consistency and operational efficiency.
• Create reusable templates, accelerators, and deployment patterns that enable self-service platform adoption and solution delivery.
• Optimize platform scalability, performance, reliability, and cost efficiency across cloud environments.
• Collaborate with Enterprise Architecture, Cloud Engineering, Data Engineering, Product Management, and Data Science teams to operationalize platform capabilities.
• Support platform services including MLflow, Model Registry, Feature Store, Vector Search, and related Databricks capabilities.
• Evaluate emerging Databricks features and cloud technologies through technical assessments and proof-of-concepts.
• Recommend platform enhancements, automation opportunities, and engineering best practices that improve developer experience and platform maturity.
• Contribute to the evolution of enterprise platform standards, reference architectures, and strategic roadmap initiatives.

Qualifications

• Relevant degree preferred.
• 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 and maintaining Infrastructure-as-Code solutions using Terraform and CI/CD pipelines.
• Strong knowledge of Delta Lake, Unity Catalog, Apache Spark, and lakehouse architecture concepts.
• 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.

Estimated hiring range: $102,400.00 to $179,000.00. This position is also incentive eligible.

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.