Senior Databricks Engineer (Admin)

VeeRteq Solutions Inc.; Irving (TX); Hybrid; USD 120,000 - 180,000; Full time

Job summary

VeeRteq Solutions Inc. seeks a Senior Databricks Engineer (Admin) to design, build, and enhance the enterprise Databricks platform.

You will support analytics, data products, machine learning, and AI initiatives across the organization in collaboration with Enterprise Architecture, Cloud Engineering, Data Engineering, Product Management, and Data Science teams. You will develop reusable platform services, automation frameworks, and self-service capabilities to boost adoption, developer

Qualifications

• 5+ years of relevant experience.
• 2+ years of hands-on Databricks experience.
• Experience with Azure cloud services and cloud-native architectures preferred.
• Terraform and CI/CD pipelines for IaC.
• Knowledge of Delta Lake, Unity Catalog, Apache Spark, and lakehouse concepts.
• Experience with MLflow, MLOps, AI platform technologies, streaming, or event-driven architectures preferred.

Responsibilities

• Develop and enhance enterprise Databricks platform capabilities for analytics, data products, machine learning, 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 to improve efficiency.
• Create reusable templates and deployment patterns to enable self-service platform adoption.
• Optimize platform scalability, performance, reliability, and cost efficiency across cloud environments.
• Collaborate with EA, Cloud Eng, Data Eng, Product Management, and Data Science teams to operationalize platform capabilities.
• Support platform services including MLflow, Model Registry, Feature Store, Vector Search, and related Databricks features.
• Evaluate emerging Databricks features and cloud technologies via technical assessments and PoCs.
• Recommend platform enhancements and automation opportunities to improve developer experience and platform maturity.
• Contribute to enterprise platform standards, reference architectures, and strategic roadmap initiatives.

Skills

Databricks

AI/MLOps

Plumini

Azure Devops

Python

Apache Spark

Education

Relevant degree preferred.

Job description

Role: Senior Databricks Engineer (Admin)

Location:

• 1st Preference - Edina, MN (Hybrid 3 Days From Office)
• 2nd Preference Chicago (Illinois) / Irving (Texas) (Hybrid 3 Days From Office)

Mandatory Skills

• Databricks
• AI/MLOps
• Plumini
• Azure Devops

Desired Skills

• Python
• Apache Spark

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. You will collaborate with Enterprise Architecture, Data Engineering, Product Management, Cloud Engineering, and Data Science teams to develop reusable platform services, automation frameworks, engineering standards, and self-service capabilities that improve platform adoption, developer experience, and engineering productivity while advancing the organization's enterprise data and AI platform.

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.