Senior AI Data Platform Engineer

Vizient; Edina (MN); On-site; USD 102,000 - 179,000; Full time

Benefits offered by this job

Incentive eligible

Job summary

Vizient seeks a senior hands-on data platform engineer to build an AI-ready enablement platform, enabling cross-domain analytics, governed data products, and reusable engineering patterns across the enterprise.

You will guide data producers and analytics teams, implement CI/CD, Unity Catalog governance, and Starburst/Trino access while delivering scalable data product delivery through governance, transformation, and enablement.

Qualifications

• 5+ years hands-on data engineering experience building production-grade data platforms, pipelines, or analytical data products.
• Strong experience with Azure Databricks, PySpark, Spark SQL, Delta Lake, Azure Data Factory, SQL, and dbt.
• Experience with Azure DevOps, Git, CI/CD pipelines, and release management practices.
• Working knowledge of lakehouse architecture, metadata management, data governance, lineage, access control, and operational support.
• Demonstrated ability to function as a senior individual contributor with ownership, technical judgment, and cross-functional collaboration skills.

Responsibilities

• Build and support scalable data engineering solutions using Azure Databricks, PySpark, SQL, Delta Lake, Azure Data Factory, dbt, and Unity Catalog.
• Improve metadata-driven Azure Data Factory and Databricks patterns for orchestration, configuration, monitoring, restartability, and operational support.
• Develop reusable accelerators including CI/CD templates, Databricks Asset Bundle patterns, deployment automation, environment configuration, and data product onboarding templates.
• Design, develop, and support dbt models, macros, tests, documentation, and transformation standards for governed analytical data products.
• Provide guidance on technology selection and implementation patterns across dbt, Databricks notebooks and workflows, Delta Live Tables, Spark, and Starburst/Trino.
• Support cross-domain analytics initiatives by transforming source-refined data into trusted, reusable data products.
• Leverage Unity Catalog to establish and support governed catalogs, schemas, tables, lineage, access controls, naming standards, and certification practices.
• Support Starburst/Trino as an analytical and federated query layer for governed enterprise data consumption.
• Apply Azure DevOps, Git, CI/CD, and IaC practices to create repeatable, testable platform delivery processes.
• Troubleshoot and resolve production issues related to orchestration, transformations, data quality, access management, query performance, deployments, and workflows.
• Collaborate with data engineering, analytics, platform, governance, and business teams to establish reusable, scalable data engineering patterns.
• Contribute to evolving enterprise data engineering standards, governance practices, observability capabilities, and AI-ready data product frameworks.

Skills

Cross-functional collaboration

Ownership

Technical judgment

Problem solving

Education

Bachelor's degree preferred

Tools

Azure Databricks

PySpark

Spark SQL

Delta Lake

Azure Data Factory

SQL

dbt

Unity Catalog

Starburst/Trino

Pulumi / IaC tools

Kubernetes / AKS

Job description

Vizient seeks a senior hands-on data platform engineer to build an AI-ready enablement platform, enabling cross-domain analytics, governed data products, and reusable engineering patterns across the enterprise.

You will guide data producers and analytics teams, implement CI/CD, Unity Catalog governance, and Starburst/Trino access while delivering scalable data product delivery through governance, transformation, and enablement.