Senior AI Data Platform Engineer

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

Job summary

Vizient, Inc. is seeking a hands-on senior data engineer to build and enhance a modern AI-ready data enablement platform.

You will work across cross-domain analytics, governed data products, and scalable patterns, enabling data producers and analytics teams with guided pathways and reusable accelerators. You will apply Databricks, Unity Catalog, Starburst/Trino, dbt, and IaC practices to deliver repeatable data product delivery, while partnering with governance and business teams to raise data

Qualifications

• 5+ years hands-on data engineering building production-grade data platforms, pipelines, or analytical data products.
• Experience with Azure Databricks, PySpark, Spark SQL, Delta Lake, Azure Data Factory, SQL, and dbt.
• Experience with Azure DevOps, Git, PR workflows, CI/CD pipelines, and release management.
• Knowledge of lakehouse architecture, metadata management, governance, lineage, access control, and operational support.
• Senior individual contributor with ownership, technical judgment, and cross-functional collaboration.
• Experience with Unity Catalog, Starburst/Trino, IaC tools, Databricks Asset Bundles, Apache Iceberg concepts, AKS/Kubernetes-based ops.
• Experience building reusable frameworks, accelerators, templates, or platform capabilities.
• Experience preparing governed data for AI/ML, GenAI, RAG, semantic search, copilots, or agentic workflows.
• Experience in healthcare, analytics, supply chain, finance, or other regulated enterprise environments.
• Strong problem solving, communication, and collaboration; ability to influence technical direction and best practices.
• You must be authorized to work in the United States without sponsorship.

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 appropriate 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, business-aligned derivative 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, and environment-aware platform delivery processes.
• Troubleshoot and resolve production issues related to orchestration, transformations, data quality, access management, query performance, deployments, and operational workflows.
• Collaborate with data engineering, analytics, platform, governance, and business teams to establish reusable, scalable, and supportable data engineering patterns.
• Contribute to the evolution of enterprise data engineering standards, governance practices, observability capabilities, and AI-ready data product frameworks.

Skills

Azure Databricks

PySpark

Spark SQL

Delta Lake

Azure Data Factory

SQL

dbt

Azure DevOps

Git

CI/CD

Infrastructure as Code

Kubernetes

Unity Catalog

Starburst/Trino

Python

Education

Relevant degree preferred

Tools

Databricks Asset Bundles

Pulumi

Apache Iceberg

AKS/Kubernetes

Job description

Vizient, Inc. is seeking a hands-on senior data engineer to build and enhance a modern AI-ready data enablement platform.

You will work across cross-domain analytics, governed data products, and scalable patterns, enabling data producers and analytics teams with guided pathways and reusable accelerators. You will apply Databricks, Unity Catalog, Starburst/Trino, dbt, and IaC practices to deliver repeatable data product delivery, while partnering with governance and business teams to raise data