Databricks Lakehouse Architect & AI Solutions Lead

Unison Group

Abu Dhabi

On-site

AED 300,000 - 520,000

Full time

5 days ago
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Job summary

Unison Group in Abu Dhabi seeks a hands-on Databricks expert to design, build, and operationalize Delta Lakehouse architectures for enterprise AI. You will own delivery, mentor teams, and drive governance across data engineering pipelines.

Key work includes Delta Live Tables, Spark, and ML workflows using Python or Scala, cloud ecosystems (AWS/Azure/GCP), Terraform automation, and observability with Splunk, Prometheus, or CloudWatch.

Qualifications

  • 10+ hands-on Databricks experience
  • Expertise in Delta Lake, DLT, Unity Catalog, and SQL Warehouses
  • 8+ years of Spark experience
  • 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
Unity Catalog
Spark
Python
Scala
Cloud platforms
Terraform
MLOps
DevOps
Monitoring & governance

Job description

Unison Group in Abu Dhabi seeks a hands-on Databricks expert to design, build, and operationalize Delta Lakehouse architectures for enterprise AI. You will own delivery, mentor teams, and drive governance across data engineering pipelines.

Key work includes Delta Live Tables, Spark, and ML workflows using Python or Scala, cloud ecosystems (AWS/Azure/GCP), Terraform automation, and observability with Splunk, Prometheus, or CloudWatch.

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