Senior Data Architect – Lakehouse & Azure Databricks

IRISSTAR Technologies; Abu Dhabi; On-site; AED 350,000 - 520,000; Full time

Job summary

IRISSTAR Technologies is seeking a senior expert with 12+ years in Data Architecture and Data Engineering to lead the design of modern data platforms in the UAE. The role focuses on Databricks, Azure data services, and Lakehouse architectures to deliver scalable data solutions for business stakeholders.

The candidate will drive data governance, security and quality while guiding ETL/ELT pipelines, data modeling and integration across enterprise data assets.

Qualifications

• 12+ years in Data Architecture / Data Engineering with hands-on implementation.
• Strong experience in Data Architecture, Data Engineering & Data Warehousing.
• Mandatory Databricks expertise and Azure data platform proficiency.
• Experience designing modern data platforms / Lakehouse architectures.
• Proficiency in Azure Databricks, Azure Data Factory, ADLS and related services.
• ETL/ELT, data modeling, and data governance knowledge.
• Ability to translate business requirements into scalable data solutions.

Responsibilities

• Define and implement scalable data architectures and data platforms.
• Collaborate with business and technical stakeholders to translate needs into solutions.
• Establish data standards, frameworks and best practices.
• Design and optimize ETL/ELT pipelines and data flows.

Skills

Data Architecture

Data Engineering

Data Warehousing

SQL

Python

Spark

Stakeholder collaboration

Data Governance

Tools

Databricks

Azure Databricks / Spark

Azure Data Factory

Azure Data Lake Storage (ADLS)

Azure cloud services

Job description

IRISSTAR Technologies is seeking a senior expert with 12+ years in Data Architecture and Data Engineering to lead the design of modern data platforms in the UAE. The role focuses on Databricks, Azure data services, and Lakehouse architectures to deliver scalable data solutions for business stakeholders.

The candidate will drive data governance, security and quality while guiding ETL/ELT pipelines, data modeling and integration across enterprise data assets.