Technical Architect – Data Platforms

Overview

We are looking for an experienced Technical Architect to design and evolve large-scale, cloud-based data platforms. The role focuses on AWS data ecosystems with growing adoption of Microsoft Fabric, supporting enterprise clients through platform build, migration, and optimisation.

Key Responsibilities

• Define architecture for data ingestion, processing, and access layers
• Design scalable, resilient data platforms (hub-and-spoke, lake/lakehouse)
• Lead implementation of batch and real-time pipelines (Kafka, APIs, SFTP)
• Architect solutions using:
  • AWS (S3, EMR, Glue)
  • PySpark / Python
• Support cloud migrations and platform modernisation
• Ensure best practices in CI/CD, Terraform, observability, and governance
• Handle schema evolution, data quality, and performance optimisation
• Collaborate across engineering, DevOps, and business teams
• Provide technical leadership and mentoring

Required Experience

• Active SC Clearance (essential)
• Strong experience with AWS data platforms (S3, EMR, Glue)
• Expertise in data lake / lakehouse architectures
• Experience with Kafka / event-driven architectures
• Strong Python & PySpark skills
• Experience with Terraform and CI/CD pipelines
• Proven track record designing large-scale data solutions

Desirable

• Experience with Microsoft Fabric (highly preferred)
• Exposure to Azure / Databricks
• Experience in enterprise-scale environments