London Stock Exchange · Posted 2w ago
Principal Cloud Data Architect
Job relayed by Stapply Data, its source: you apply there.
- Location
- 🇬🇧 London, United Kingdom
- Contract
- Full-time
- Role
- Platform & databases
- Source
- Stapply Data
Stack
- Snowflake
- Databricks
- Airflow
- Kafka
- Kinesis
- MongoDB
- DynamoDB
- Cosmos DB
- SQL
- Python
- AWS
- GCP
- Azure
The posting
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.
- Designing secure, scalable, and cost-effective data architecture, and leading the adoption and integration of AWS/Azure architecture services. - Mentoring team members and collaborating with enterprise teams to ensure technical choices align with the overall architecture of products. - Assessing and advocating data management technologies and practices, and formulating and articulating architectural trade-offs across solution options.
- 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