AWS Data Architect

Prospect Global Ltd; Greater London; Hybrid; GBP 120,000 - 165,000; Full time

Job summary

Prospect Global Ltd is seeking an experienced AWS Data Architect to design and deliver enterprise-scale, cloud-native data platforms on AWS. You will focus on Data Products, Data Mesh, and Lakehouse architectures to enable secure, governed data solutions across BFSI domains.

Responsibilities include designing data lakehouse architectures, building scalable data platforms with S3, Glue, EMR, Athena, and Redshift, and enforcing data governance and security policies in regulated environments.

Qualifications

• 10+ years of experience in Data Architecture, Data Engineering, or Cloud Data Platform design.
• Experience designing Data Mesh, Data Lakehouse architectures, and Data Products.
• Strong expertise in enterprise metadata management, data cataloging, and governance solutions.
• Proficiency in SQL, data modeling (conceptual/logical/physical), and performance tuning.

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.
• Develop scalable data platforms leveraging AWS services and Apache Spark.
• Architect and optimize batch and real-time data ingestion, transformation, and processing pipelines.
• Establish enterprise-wide data governance, metadata management, and data cataloging strategies.

Skills

Data Architecture

Data Engineering

Data Modeling

SQL

Security & Compliance

Tools

Amazon S3

AWS Glue

Amazon EMR

Amazon Athena

Amazon Redshift

Apache Spark

AWS DataZone

AWS Lake Formation

Kafka/Kinesis

Job description

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 Productsand 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