Chief Architect - Data Engineering (Databricks Practice)

Unison Group

Dubai

On-site

AED 400,000 - 800,000

Full time

9 hours ago
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Job summary

Unison Group in Dubai is building a fast-growing Databricks practice. We are seeking a Lead Solution Architect - Data Engineering to be the technical anchor of the practice, guiding solution design on client engagements, owning enterprise architectures in presales, and driving large migrations to the cloud.

You will mentor engineers, create accelerators, and convert delivery success into reusable assets and go-to-market offerings while hands-on tuning and setting engineering standards for the

Qualifications

  • 12+ years in data engineering/architecture.
  • 3+ years on Databricks at enterprise scale.
  • Deep Spark expertise: architecture, tuning, streaming.

Responsibilities

  • Own end-to-end architecture and design decisions on Databricks engagements.
  • Lead delivery of production-grade data platforms: ingestion, transformation, orchestration, governance, BI/ML enablement.
  • Lead large-scale migrations and cloud transformation projects to Databricks on Azure/AWS/GCP.

Skills

Databricks
Data engineering
Architecture
Python
SQL
Scala
CI/CD
MLflow
LLM APIs
Delta Lake
Unity Catalog
Airflow
Microsoft Fabric exposure

Tools

Spark UI
Workflows
DLT/Lakeflow
ADF
Azure/AWS/GCP
OpenAI APIs
Anthropic APIs
Databricks SA

Job description

We are building a fast-growing Databricks practice delivering enterprise data and AI solutions across APAC. As Lead Solution Architect - Data Engineering, you will be the technical anchor of the practice: leading solution design on client engagements, owning and defending enterprise architectures in presales, and driving large-scale migration and cloud transformation programs. This is a hands-on leadership role for a builder who can equally command a whiteboard in front of a CTO and a Spark UI when a pipeline misbehaves. You will also shape the practice itself — mentoring engineers, creating accelerators and reusable assets, and converting delivery success into case studies and go-to-market offerings.

Architecture & Delivery
  • Own end-to-end architecture and design decisions on Databricks engagements, ensuring solutions are secure, scalable, performant, and aligned with Lakehouse best practices
  • Lead delivery of production-grade data platforms — ingestion, transformation, orchestration, governance through Unity Catalog, and downstream BI/ML enablement
  • Lead large-scale migrations (legacy DW/ETL, Hadoop, on-prem estates) and cloud transformation projects to Databricks on Azure/AWS/GCP, including assessment, wave planning, and cutover
  • Stay hands-on: performance tuning, debugging, code and design reviews, and setting engineering standards for the team
Presales & Stakeholder Management
  • Own and defend enterprise solution designs in front of architecture boards, CIOs, and CTOs — and enjoy it
  • Drive presales end-to-end: discovery, solutioning, estimation, PoCs, RFPs, and proposals that convert
  • Translate hard technical trade-offs into decisions executives can act on — from engineer to boardroom without changing gears
Who Thrives Here
  • A builder at heart — 12+ years in data engineering/architecture, 3+ on Databricks at enterprise scale, and still happiest when hands are on the keyboard
  • Deep Spark expertise — architecture, performance tuning, streaming, debugging, the advanced stuff that separates architects from diagram-drawers
  • Lakehouse fluency — Medallion architecture, Delta Lake, Unity Catalog, governance, orchestration (Workflows, DLT/Lakeflow, Airflow, ADF); Microsoft Fabric exposure a bonus
  • Battle-tested in migrations — you've led large transformation programs and have the scars and success stories to show for it
  • Presales instinct — you don't just design solutions; you sell them, price them, and defend them under fire
  • Modern edge — strong Python/SQL/Scala, CI/CD for data platforms, and comfort integrating ML/AI (MLflow, LLM APIs like OpenAI and Anthropic) into what you build
  • Certified credibility — Databricks Data Engineer Professional / SA accreditations strongly preferred
  • Founder energy — curiosity, adaptability, and the drive to build offerings, not just deliver projects
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