Ampstek
AWS Data Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Architect with 8-15 years of experience, focusing on designing scalable AWS data architectures and leading data migrations. Key skills include AWS services, data engineering, and data modeling. Contract length and pay rate are unspecified.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
July 7, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Edinburgh, Scotland, United Kingdom
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🧠 - Skills detailed
#AWS (Amazon Web Services) #Security #Data Modeling #Redshift #Python #Data Migration #"ETL (Extract #Transform #Load)" #Data Lake #Data Pipeline #SQL (Structured Query Language) #PySpark #Athena #Spark SQL #Spark (Apache Spark) #Cloud #S3 (Amazon Simple Storage Service) #Storage #Scala #RDS (Amazon Relational Database Service) #Data Architecture #Lambda (AWS Lambda) #Apache Spark #Migration #Data Engineering #Data Governance
Role description
JOB DETAILS
Role Title: AWS Data Architect
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
JOB DETAILS
Role Title: AWS Data Architect
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
