AWS Data Architect

🔥 17 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

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Leighton

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1992

💼 Consulting

🤝 B2B

🏢 Enterprise

Consulting • B2B • Enterprise

Leighton is a UK-based software development and digital transformation company that accelerates digital capabilities for organisations. It builds software products and processes, offers 'Build as a service' delivery and embedded expert consultancy to augment client teams, and focuses on improving business processes, integrations, and customer experiences. Leighton is an AWS Advanced Tier Partner with over 100 AWS-certified professionals and targets enterprise and organisational customers across sectors.

📋 Description

• 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 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

🎯 Requirements

• 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 • Experience building and maintaining enterprise-scale ETL pipelines • Data modelling for analytics, reporting, and cloud data platforms • 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

🏖️ Benefits

• A competitive salary dependent on experience • A contributory pension scheme • Private healthcare • 25 days annual leave, plus bank holidays • Opportunity to buy or sell holiday • Flexible approach to working hours • Continuous personal development, career path and training

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