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

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

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