Databricks Solution Architect

Unison Group; Abu Dhabi; On-site; AED 300,000 - 520,000; Full time

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

Job Description

• We're seeking a hands-on experience in Databricks with deep technical expertise in building and optimizing Lakehouse-based data and AI solutions.
• In this role you'll design, develop, and operationalize Delta Lakehouse architectures using Databricks, driving real-world outcomes for enterprise customers. You'll take ownership of implementation tasks, lead technical delivery, and mentor engineering teams in best practices across data engineering, governance, and AI.

Key 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.

Required Skills & Experience

• Strong 10+ hands-on experience with Databricks, including workspace setup, notebooks, clusters, and job orchestration.
• Expertise in Delta Lake, DLT, Unity Catalog, and SQL Warehouses.
• Strong 8+ Years of experience with Spark
• 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.

Requirements