# Chief Architect - Data Engineering (Databricks Practice) — Unison Group

Canonical: https://jobxdubai.com/jobs/li-4456498330-chief-architect-data-engineering-databricks-practice
Location: Dubai, UAE
Type: full_time · Level: senior
Monthly salary: AED 50,000 to 90,000 per month (estimated, not employer-stated) (UAE salaries are tax-free)
Posted: 2026-08-20
Apply: https://www.linkedin.com/jobs/view/chief-architect-data-engineering-databricks-practice-at-unison-group-4456498330?_l=en

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## 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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## Requirements

12+ years in data engineering/architecture, 3+ years on Databricks at enterprise scale. Hands-on practitioner with strong Python/SQL/Scala, performance tuning, and ability to review code and designs. Databricks Data Engineer Professional or SA accreditation strongly preferred.

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