Technical Architect- Data Platforms

True North Group
Manchester, United Kingdom
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 85K

Job location

Manchester, United Kingdom

Tech stack

API
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Azure
Big Data
Continuous Integration
DevOps
Python
Performance Tuning
File Transfer Protocol (FTP)
Cloud Platform System
Data Ingestion
SC Clearance
Event Driven Architecture
Microsoft Fabric
Data Lake
PySpark
Amazon Web Services (AWS)
Kafka
Data Management
Terraform
Databricks

Job description

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., * 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

Requirements

  • 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

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