AWS Data Architect

Leighton

52m ago

Worldwide Remote

Full Time

The Role

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.

Key Responsibilities

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.

Required Skills

s3awsredshift

Required Languages

🇬🇧 English

Key Responsibilities

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.