Principal Cloud Data Architect
Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Aug 2, 2026. London Stock Exchange scores A on the Alion truth index.
Join our Digital Identity & Fraud Engineering team as a Principal Cloud Data Architect. In this role, you will be responsible for the technical direction of our products, ensuring the use of appropriate technologies and driving initiatives that bring customer value and operational efficiency. You will work closely with enterprise teams to align technical choices with the overall architecture of our products, mentor team members, and collaborate with data engineers. Key responsibilities include designing secure and scalable data architecture, leading the adoption of AWS/Azure architecture services, and improving data integration and quality.
Missions
- Assurer la direction technique des produits, en veillant à l'utilisation de technologies appropriées et en contribuant à l'initiative d'apporter de la valeur aux clients.
- Concevoir une architecture de données sécurisée, évolutive et rentable, et travailler avec des équipes multifonctionnelles pour diriger l'adoption et l'intégration des services d'architecture AWS/Azure.
- Mentorer les membres de l'équipe et collaborer avec les clients et le personnel de développement pour garantir que les recommandations en matière d'architecture de données améliorent la valeur des données des clients.
Profil recherché
- 12+ years of Proven ability implementing with a variety of on-premises and cloud data management, integration, visualization, and analytical technologies- Ability to think strategically and relate architectural decisions and recommendations to customer needs
- Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake and DataBricks
- Advanced proficiency in end-to-end data architecture solutions including ingestion, storage and relational modeling using industry standard languages including SQL and Python
- Ability to assess traditional and modern data architectural components based on business needs
- Familiarity with recommending data governance standard methodologies including MDM, security, privacy and policies