# Databricks Solution Architect — Unison Group

Canonical: https://jobxdubai.com/jobs/li-4456176128-databricks-solution-architect
Location: Abu Dhabi, UAE
Type: full_time · Level: senior
Monthly salary: AED 32,000 to 55,000 per month (estimated, not employer-stated) (UAE salaries are tax-free)
Posted: 2026-08-19
Apply: https://www.linkedin.com/jobs/view/databricks-solution-architect-at-unison-group-4456176128?_l=en

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## 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

Requirements

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

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## Requirements

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.

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