Databricks Lakehouse Architect for AI-Driven Data

UNISON Group; Charlotte (NC); On-site; USD 94,000 - 149,000; Full time

Job summary

UNISON Group is seeking a hands-on Databricks engineer to design, develop, and operationalize Lakehouse-based data and AI solutions for enterprise customers. You will own implementation tasks, lead technical delivery, and mentor teams in data engineering, governance, and AI.

Responsibilities include building scalable pipelines with Delta Live Tables, optimising ETL/ML workloads, and managing secure Databricks environments. Strong Python/Scala, cloud, and MLOps experience are required.

Qualifications

• Hands-on Databricks experience including workspace setup, notebooks, clusters, and job orchestration.
• Expertise in Delta Lake, DLT, Unity Catalog, and SQL Warehouses.
• Proficiency in Python or Scala for data engineering and ML workflows.
• Strong understanding of AWS, Azure, or GCP cloud ecosystems.
• Experience with Terraform automation, DevOps, and MLOps practices.
• Familiarity with monitoring and governance frameworks for large-scale data platforms.

Responsibilities

• Design and implement scalable data pipelines using Delta Live Tables (DLT), Spark SQL, Python, or Scala.
• Optimize ETL, streaming, and ML workloads for performance, cost efficiency, and reliability.
• Administer and configure Databricks Workspaces, Unity Catalog, and cluster policies for secure, governed environments.
• Automate infrastructure and deployments using Terraform, Git, and CI/CD pipelines.
• Implement observability, cost optimization, and monitoring frameworks using tools like Splunk, Prometheus, or CloudWatch.
• Collaborate with customers to build AI and LLM solutions leveraging MLflow, DBRX, and Mosaic AI.

Skills

Databricks

Delta Lake

Python/Scala

Cloud platforms

MLOps

Terraform

CI/CD

Observability tooling

Job description

UNISON Group is seeking a hands-on Databricks engineer to design, develop, and operationalize Lakehouse-based data and AI solutions for enterprise customers. You will own implementation tasks, lead technical delivery, and mentor teams in data engineering, governance, and AI.

Responsibilities include building scalable pipelines with Delta Live Tables, optimising ETL/ML workloads, and managing secure Databricks environments. Strong Python/Scala, cloud, and MLOps experience are required.