AWS Data Architect

Location: London - Hybrid- 3 days Onsite

Job Summary

We are seeking an experienced AWS Data Architect to design, build, and implement enterprise-scale cloud-native data platforms on AWS. The ideal candidate will have deep expertise in Data Products , Apache Iceberg , AWS DataZone , AWS Lake Formation , and modern Lakehouse Architectures . You will be responsible for delivering scalable, secure, and governed data solutions supporting critical business functions within the Banking, Financial Services, and Insurance (BFSI) domain.

Key Responsibilities

• Design and implement enterprise Data Lake and Lakehouse architectures using AWS-native services.
• Build and manage Data Products aligned with a data mesh and domain-driven architecture approach.
• Develop scalable data platforms leveraging Apache Iceberg , Amazon S3 , AWS Glue , EMR , Athena , Redshift , and Apache Spark .
• Architect and optimize batch and real-time data ingestion, transformation, and processing pipelines.
• Establish enterprise-wide data governance , metadata management, data cataloging, and data-sharing strategies using AWS DataZone and AWS Lake Formation .
• Define data security, access controls, encryption, and compliance frameworks for regulated financial environments.
• Implement robust ETL/ELT frameworks with a focus on performance, scalability, reliability, and cost optimization.
• Collaborate with business stakeholders, data engineers, and analytics teams to deliver trusted and reusable data assets.
• Design data quality frameworks, lineage tracking, observability, and monitoring solutions.
• Lead architectural reviews, technology evaluations, and cloud modernization initiatives.

Required Skills & Experience

• 10+ years of experience in Data Architecture, Data Engineering, or Cloud Data Platform design.
• Strong hands-on experience with:
• Amazon S3
• AWS Glue
• Amazon EMR
• Amazon Athena
• Amazon Redshift
• Apache Spark (PySpark/Scala)
• AWS DataZone
• AWS Lake Formation
• Experience designing and delivering Data Products and Data Mesh architectures.
• Strong expertise in data modeling (Conceptual, Logical, and Physical models).
• Experience implementing enterprise metadata management, data cataloging, and governance solutions.
• Deep understanding of batch, streaming, and event-driven data processing patterns.
• Strong SQL and performance optimization skills.
• Experience with CI/CD, Infrastructure as Code (Terraform/CloudFormation), and DevOps practices.
• Knowledge of data security, privacy, and regulatory controls in cloud environments.

BFSI Domain Experience

Strong experience in one or more of the following areas:

• Payments and Transaction Processing
• Regulatory Reporting
• Risk & Compliance Management
• Treasury and Liquidity Management
• Trading and Capital Markets
• Customer 360 and Analytics
• Financial Data Management and Reconciliation

Compliance & Governance

• Experience implementing controls aligned with:
• GDPR
• Financial Services Regulations
• Data Privacy Standards
• Data Retention and Audit Requirements
• Enterprise Data Governance Policies

Preferred Qualifications

• AWS Certified Solutions Architect - Professional
• AWS Certified Data Analytics - Specialty
• Experience with Data Mesh and Lakehouse architectures
• Knowledge of Kafka, Kinesis, or other streaming technologies
• Experience working in large-scale AWS enterprise environments