Why This Role Stands Out
This is an exceptional opportunity to lead the design and implementation of a cutting-edge AWS data platform, offering significant growth and impact within a major public sector transformation. If you possess active SC & NPPV3 clearance and thrive in a hands-on technical leadership role, leveraging your expertise in AWS data services like Redshift and Glue, you'll find this hybrid position rewarding. Embrace this chance to shape critical data solutions and advance your career.
Quick Overview
Job Description
Data Solution Technical Lead - AWS - SC & NPPV3 Cleared
We're looking for an experienced Data Solution Technical Lead to lead the design and delivery of a complex AWS-based data platform within a major public sector transformation programme.
This is a hands-on technical leadership role, working closely with engineering teams, architects and stakeholders to deliver secure, scalable data solutions.
Key responsibilities:
- Lead the design and implementation of AWS data solutions using Amazon Redshift, AWS Glue and associated services.
- Own High-Level and Low-Level Designs covering architecture, data flows, integration and security.
- Oversee data ingestion, ETL/ELT pipelines, transformation and data modelling.
- Provide technical direction to engineers, ensuring high standards of delivery.
- Translate business requirements into technical designs and actionable engineering tasks.
- Support data quality, record linkage, monitoring and platform optimisation.
Essential experience:
- Active SC & NPPV3 clearance
- Strong hands-on AWS data engineering and architecture experience.
- Extensive experience with Redshift, Glue, SQL and ETL/ELT.
- Previous experience as a Technical Lead, Lead Data Engineer or Data Architect.
- Strong understanding of data integration, data quality and scalable cloud architectures.
- Experience working in Agile delivery environments.
- Excellent stakeholder engagement and technical leadership skills.
Government delivery experience and knowledge of security-sensitive environments would be advantageous.
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