AWS Data Architect (Banking Domain)

Project overview

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

Required Skills & Experience

BFSI Domain Experience

Strong experience in one or more of the following areas:

Compliance & Governance

Preferred Qualifications

• 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.
• 10+ years of experience in Data Architecture, Data Engineering, or Cloud Data Platform design.
• Strong hands-on experience with:
• Apache Iceberg
• 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 modelling (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.
• Payments and Transaction Processing
• Regulatory Reporting
• Risk & Compliance Management
• Treasury and Liquidity Management
• Trading and Capital Markets
• Fraud Detection & AML
• Customer 360 and Analytics
• Financial Data Management and Reconciliation
• Experience implementing controls aligned with:
• GDPR
• Financial Services Regulations
• Data Privacy Standards
• Data Retention and Audit Requirements
• Enterprise Data Governance Policies
• 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

Project details

• Start: flexible
• Location: London, UK, GB