AWS Data Platform Expert Engineer

🔒 Confidential Employer
Posted 20 April 2026
LOCATION
London
TYPE
Contract
LEVEL
Mid-Senior level
CATEGORY
Technology
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

AWS S3 Redshift SQL Airflow DataOps

FULL DESCRIPTION

Job Title: AWS Data Platform Expert Engineer
Location: London
Salary/Rate: £500 daily inside IR35
Start Date: 13/04/2026
Job Type: 3-month contract

Job Responsibilities/Objectives

Required Experience

  • Proven experience as a Data Platform Architect, Data Architect, or Lead Data Engineer / Architect in enterprise-scale environments
  • Strong hands-on architecture experience on AWS
  • Deep knowledge of:
  • Amazon S3
  • Amazon Redshift
  • AWS Glue
  • Glue Catalog
  • Kinesis
  • IAM
  • KMS
  • CloudWatch
  • Strong experience with dbt and SQL-based transformation design
  • Experience designing data platforms supporting both BI/reporting and advanced analytics
  • Experience with Airflow or equivalent enterprise orchestration tools
  • Strong understanding of RBAC, enterprise identity integration, and secure data access
  • Experience with CI/CD and DataOps practices for cloud platforms
  • Ability to define architecture for ingestion from heterogeneous enterprise systems
  • Strong stakeholder engagement and design governance skills

Key Responsibilities

  • Define the target-state architecture for the AWS data platform.
  • Lead the design of ingestion patterns for structured and semi-structured data from enterprise source systems.
  • Establish the architecture for landing data into S3 and transforming curated data into Redshift using dbt.
  • Define data processing standards, including layering, transformation patterns, reusable models, and data quality controls.
  • Design metadata, cataloguing, and discoverability capabilities using Glue Catalog.
  • Shape the consumption architecture for:
  • Power BI reporting
  • Python/Athena-based analytics
  • API-based data access
  • Define orchestration patterns using Airflow for enterprise scheduling and dependency management.
  • Establish platform security architecture covering RBAC, IAM, key management, and enterprise identity integration.
  • Define DataOps and platform operations patterns including monitoring, logging, CI/CD, release management, and cost visibility.
  • Work with engineering teams to translate solution architecture into implementation-ready designs.
  • Support environment strategy across dev, test/pre-prod, and production.
  • Provide architecture governance, design assurance, and technical leadership through delivery.

If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format.

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