Must have

• Azure

• AWS

• Databricks

• Spark

• Informatica

• Data management

• SQL

• Python

• Communication skills

• AI

• Cloud

• ETL

• DevOps

• Data models

• BI

• English

Requirements description

Requirements:

• Proven experience designing enterprise-level data architectures in Azure and/or AWS environments.
• Expertise in Databricks, Lakehouse architecture, and data processing frameworks (e.g., Spark).
• Hands-on leadership in metadata, data lineage, and governance tools (Collibra, Alation, Informatica EDC).
• Hands-on experience implementing Master Data Management strategies and tools.
• Strong proficiency in SQL/python, data modeling, and data integration patterns.
• Excellent English language skills, both written and spoken, especially for technical communication.
• Exceptional executive communication skills with the ability to brief the board, not just engineers, collaborate, share ideas and build consensus across teams.
• Experience working in multicultural, international environments.

Offer description

Job description

Our Partner is a prestigious Saudi Arabian conglomerate that stands today as one of the Middle East’s most influential family businesses, blending commercial expansion, global partnerships, and impactful philanthropy. Over eight decades, it has diversified into seven major sectors, including automotive, energy and financial services, operating in over 30 countries. Together, we are looking for a skilled Data Architect who has led AI and digital transformations at scale. In this senior-level role, you’ll design and build robust data architectures with a strong focus on Master Data Management, Databricks, and Lakehouse solutions on Azure or AWS. You’ll collaborate with international, cross-functional teams, share your vision, and help drive alignment on data strategy. Strong communication and interpersonal skills will be key as you work with both technical and business stakeholders in a multicultural environment. If you’re passionate about shaping modern data ecosystems and enabling organizations to turn raw data into trusted, high-impact insights—we’d love to hear from you.

Your responsibilities

1. Architect and implement scalable data solutions using Lakehouse, Databricks and cloud platforms (Azure or AWS).
2. Design and oversee Master Data Management (MDM) frameworks, ensuring consistency, accuracy, and governance of core business data.
3. Design or optimize ETL/ELT pipelines, integrating data from diverse sources and ensuring high availability.
4. Collaborate with DevOps and infrastructure teams to ensure resilient cloud-native architecture and incident-ready solutions.
5. Develop and enforce data governance principles and manage tools like Collibra, Alation, Informatica EDC.
6. Create data models and semantic layers that serve as the foundation for BI and analytics solutions.

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