Senior Databricks Platform Engineer - AI & MLOps

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

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