AWS Data Architect (Data Lake & SAP)

NorthBay Solutions; Dubai; On-site; AED 200,000 - 300,000; Full time

Job summary

A leading technology firm in the UAE is seeking an experienced AWS Data Architect to design and implement scalable cloud-based data solutions. This on-site role focuses on data architecture and integration for enterprise analytics. The ideal candidate should have over 8 years of experience, expertise in AWS services, and strong programming skills in Python and SQL. Attractive salary and benefits are offered, along with opportunities for career growth in a collaborative environment.

Benefits

Attractive salary and benefits

Career growth opportunities

Exposure to international teams

Qualifications

• 8+ years of experience in Data Architecture, Data Engineering, or Cloud Architecture roles.
• Proven experience designing and deploying AWS Data Lake / Lakehouse architectures.
• Strong programming skills in Python and SQL.

Responsibilities

• Design and implement scalable AWS Data Lake and modern data architecture solutions.
• Build and maintain robust ETL/ELT pipelines using AWS-native tools.
• Develop data integration solutions to support FP&A and financial reporting.

Skills

Data Architecture

Data Engineering

Cloud Architecture

Data Integration

Python

SQL

Communication

Analytical Skills

Education

Bachelor’s or Master’s degree in Computer Science or related discipline

Tools

AWS S3

AWS Glue

AWS Redshift

Tableau

Power BI

QuickSight

Job description

Position Overview

We are seeking an experienced AWS Data Architect to design and implement scalable cloud-based data solutions to support enterprise-wide analytics and FP&A processes. This role is based on-site in the United Arab Emirates (UAE). Candidates currently outside the UAE must be flexible and willing to relocate. Short-term travel across the region may be required for critical project milestones and team collaborations.

Qualifications

Education:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related discipline.

Experience:

• 8+ years in Data Architecture, Data Engineering, or Cloud Architecture roles.
• Proven experience designing and deploying AWS Data Lake / Lakehouse architectures.
• Strong experience in enterprise-scale data integration and large data processing systems.
• Experience supporting FP&A, analytics, BI, or enterprise reporting environments is a plus.

Technical Proficiency:

• Hands‑on expertise with AWS services: S3, Glue, Redshift, Lambda, Athena, EMR, Kinesis, Lake Formation, and related tools.
• Strong programming skills in Python and SQL.
• Deep knowledge of data modeling, schema design, warehousing concepts, and metadata management.
• Experience with BI tools such as Tableau, Power BI, or QuickSight.

Soft Skills:

• Strong communication and stakeholder management skills.
• Analytical mindset with strong problem‑solving abilities.
• Ability to work in a dynamic environment and adapt to evolving business needs.

Preferred Qualifications

• AWS certifications such as Solutions Architect, Data Analytics Specialty, or Database Specialty.
• Familiarity with Agile methodologies and tools like Jira.
• Experience implementing advanced data security and compliance best practices.

Key Responsibilities

AWS Data Architecture:

• Design and implement scalable AWS Data Lake and modern data architecture solutions for large‑scale data management and analytics.

Data Integration:

• Build and maintain robust ETL/ELT pipelines using AWS‑native tools and modern data engineering frameworks.

• Ensure data accuracy, consistency, and reliability across ingestion and transformation flows.

Support for FP&A & Analytics:

• Develop data integration solutions to support FP&A, financial reporting, forecasting, and enterprise decision‑making processes.

Cloud Infrastructure Management:

• Optimize AWS environments for performance, scalability, cost‑efficiency, and automation.

Data Governance & Security:

• Implement and enforce best practices for data governance, data cataloging, lineage, security, IAM, and compliance across the Data Lake.

Collaboration & Stakeholder Engagement:

• Work closely with business analysts, data engineers, and analytics teams to deliver end‑to‑end data solutions aligned with business needs.

On‑site Collaboration:

• Participate in critical workshops, events, and team engagements as required within the UAE and across the region.

Why Join Us?

• Opportunity to work on high‑impact AWS data architecture initiatives.
• Attractive salary and benefits.
• On‑site role in the UAE with exposure to international teams and strategic projects.
• Career growth in a technology‑driven, highly collaborative environment.