AWS Data Architect
Summary: The AWS Data Architect role involves designing scalable and secure AWS data architectures and leading data migration initiatives. The position requires collaboration on data governance and optimization of data pipelines. It is a hybrid role based in either London or Edinburgh, with a contract duration of 5 months. Candidates should have extensive experience in AWS services and data engineering.
Key Responsibilities:
- Design scalable and secure AWS data architectures leveraging S3, Glue, Redshift, EMR, Lambda, and other cloud-native services.
- Lead end-to-end data migration initiatives from on-premises and Legacy platforms to AWS-based data lakes and warehouses.
- Define enterprise data models, ETL/ELT frameworks, and integration patterns to support analytics and reporting.
- Optimize data pipelines, storage, and processing workloads for performance, scalability, and cost efficiency.
- Drive data governance, security, and stakeholder collaboration to deliver business-aligned cloud data solutions.
Key Skills:
- AWS Services: S3, Glue, Redshift, EMR, Athena, Lambda, RDS.
- Data Engineering: PySpark, Apache Spark, SQL, Python, ETL/ELT Design, Data Warehousing, Data Lakes, Streaming Architectures.
- Data Modeling.
Salary (Rate): £409 per day
City: London or Edinburgh
Country: UK
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.
Role Title: AWS Data Architect
Work mode: Hybrid, 3 days WFO/week
Contract duration: 5 months
Location: London or Edinburgh
Pay Rate: £409 per day all inc. (Inside IR35)
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JOB DETAILS
Minimum years of experience: 8 years to 15 years
Job Description:
- Design scalable and secure AWS data architectures leveraging S3, Glue, Redshift, EMR, Lambda, and other cloud-native services.
- Lead end-to-end data migration initiatives from on-premises and Legacy platforms to AWS-based data lakes and warehouses
- Define enterprise data models, ETL/ELT frameworks, and integration patterns to support analytics and reporting.
- Optimize data pipelines, storage, and processing workloads for performance, scalability, and cost efficiency.
- Drive data governance, security, and stakeholder collaboration to deliver business-aligned cloud data solutions.
Primary Skills:
- AWS Services: S3,Glue, Redshift, EMR, Athena, Lambda, RDS
- Data Engineering: PySpark, Apache Spark, SQL, Python, ETL/ELT Design, Data Warehousing, Data Lakes, Streaming Architectures
- Data Modeling
If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.
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