TITLE: AWS Data Architect (Data Migration & Lakehouse)
For our
UAE based large organization client, we are seeking an experienced
AWS Data Architect to design and deliver large-scale, end-to-end
data platforms and migration solutions on AWS. The role involves building modern
lakehouse architectures, enabling
cloud data migrations, and designing business-ready data models for analytics and reporting.
IMPORANT: This is a
fulltime onsite opportunity in the UAE office (no remote/hybrid option)
Key Responsibilities
- Design and build end-to-end data pipelines for on-prem to cloud data migration on AWS
- Architect and implement Lakehouse / Medallion Architecture (Bronze, Silver, Gold layers)
- Design golden / modeled data layers for analytics and business consumption
- Implement CDC (Change Data Capture) mechanisms for near-real-time data processing
- Design and manage Iceberg tables on S3 with schema evolution and data versioning
- Define data models, schemas, and governance standards
- Ensure data handling aligns with regulatory and compliance requirements (e.g., GDPR)
- Orchestrate batch and streaming workflows using modern AWS services
- Monitor, optimize, and secure data pipelines for performance, cost, and reliability
Required Skills & Technologies
- AWS Services: AWS Glue, EMR, Lambda, EC2, CloudWatch, MWAA (Airflow), Redshift, DynamoDB, S3, DataZone
- Data Architecture: Lakehouse / Medallion Architecture, Data Modeling, Golden Layer Design
- Data Engineering: CDC implementation, Batch & Pipeline orchestration, Schema design & evolution
- Storage & Formats: Apache Iceberg, data versioning, partitioning strategies
- Governance & Compliance: GDPR-compliant data handling, access controls, data lineage
- Migration Experience: Large-scale data migration to cloud (on-prem / hybrid to AWS)
Experience
- Minimum 8 to 15+ years of overall experience in data engineering and architecture
- Strong background in enterprise-scale cloud data platforms on AWS
Location
UAE office (Fully onsite, with no hybrid/remote options)
Skills: data migration,aws,data lakes,data architecture,data engineering
