AWS Data Architect

We are seeking an experienced AWS Data Architect to design, build, and optimise scalable cloud-based data platforms. The successful candidate will be responsible for architecting enterprise data solutions on AWS, with a particular focus on S3-based Data Lakes, ETL frameworks, analytics platforms, and modern data engineering best practices.

You will work closely with engineering, analytics, and business stakeholders to ensure data is accessible, governed, secure, and capable of supporting advanced reporting and analytics workloads.

• Design and implement scalable Data Lake architectures using Amazon S3.
• Define and maintain Data Lake structures including Raw, Curated, and Consumption zones.
• Architect enterprise ETL and ELT solutions using AWS Glue and related AWS services.
• Design and optimise analytical data models and reporting solutions using Amazon Redshift.
• Enable self-service analytics through Amazon Athena and data cataloguing services.
• Develop data ingestion frameworks for batch and near real-time workloads.
• Establish data governance, security, metadata management, and access controls.
• Optimise storage, query performance, and cloud consumption costs.
• Collaborate with data engineers, BI teams, product teams, and business stakeholders to understand and translate business requirements into technical solutions.
• Define data architecture standards, best practices, and technical roadmaps.
• Support migration of legacy data platforms into AWS-native architectures.

Core AWS Data Technologies

• Strong experience designing and operating Amazon S3 Data Lakes.
• Hands-on experience with AWS Glue including Crawlers, Data Catalog, ETL Jobs and Workflows.
• Experience designing analytical solutions using Amazon Redshift.
• Strong knowledge of querying and optimising datasets using Amazon Athena.
• Building and maintaining enterprise-scale ETL pipelines.
• Data modelling for analytics, reporting, and cloud data platforms.

AWS & Data Architecture

• Expertise in AWS data architecture patterns and best practices.
• Experience designing scalable, high-volume data processing solutions.
• Strong understanding of data governance, lineage, metadata management and security.
• Knowledge of data partitioning, compression, and query optimisation techniques.

• Experience with structured, semi-structured and unstructured datasets.

• An open and genuine communicator
• Able to take responsibility for your actions
• Always learning and wanting to improve
• Takes responsibility for own development
• Love what you do
• Value and support your team
• Embrace who you are
• Open minded and willing to explore new ideas

We value our team and to attract exceptional people, we offer an excellent package! In 2023, 2024 and 2025 we were recognised as one of the Best Workplaces in Tech by Great Place To Work UK, the global authority on workplace culture. As a Leighton employee you can look forward to:

• A competitive salary this will be dependent on experience.
• A contributory pension scheme
• Private healthcare
• 25 days annual leave, plus bank holidays and the opportunity to buy or sell holiday
• A flexible approach to working hours
• Continuous personal development, career path and training
• And more….