Senior Data Architect (AWS Data Platforms)

Job Summary

Key Responsibilities

• Design and own end-to-end AWS data architecture for enterprise platforms
• Define data architecture standards, best practices, and reference models
• Architect batch and event-driven data pipelines using AWS native services
• Lead data ingestion, transformation, and orchestration workflows
• Design and implement solutions using AWS Glue, EMR, Lambda, and MWAA (Airflow)
• Architect data lakes and data warehouses using Amazon S3 and Amazon Redshift
• Design NoSQL data solutions using Amazon DynamoDB
• Implement data governance, metadata management, and access control using AWS DataZone
• Ensure monitoring, logging, and observability using Amazon CloudWatch
• Partner with engineering, analytics, and business teams to translate requirements into scalable data solutions
• Lead cloud migration and data modernization initiatives
• Ensure security, compliance, performance optimization, and cost efficiency
• Provide technical leadership, mentorship, and architecture reviews

• Amazon MWAA (Apache Airflow)

• Amazon EC2
• Amazon CloudWatch
• Amazon Redshift
• Amazon DynamoDB
• AWS DataZone

• Amazon S3 (Data Lakes)

• SQL (Advanced)

Experience And Qualifications

• 12+ years of experience in Data Engineering and Data Architecture
• Proven experience working as a Data Architect on large-scale AWS platforms
• Strong experience designing enterprise data lakes and data warehouses
• Hands-on experience with batch data processing and orchestration frameworks
• Excellent communication and stakeholder management skills
• Ability to work onsite in Dubai, UAE

Preferred Qualifications

• AWS Certified Solutions Architect – Professional
• AWS Certified Data Analytics – Specialty
• Experience with enterprise data governance frameworks