Senior AWS Data Architect: Lakehouse & Data Mesh (Hybrid London)

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

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.