Principal Cloud Data Architect

London Stock Exchange; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

London Stock Exchange seeks a Senior Data Architect to define and lead secure, scalable data architectures in the Digital Identity & Fraud Engineering team. You will drive cloud integration across AWS, Azure, and real-time streaming technologies, while mentoring engineers to raise technical capabilities and deliver customer value.

You will partner with enterprise teams to ensure architectural choices align with product roadmaps and data governance practices, shaping future data capabilities.

Qualifications

• 12+ years of experience implementing a mix of on-premises and cloud data management, integration, visualization and analytics technologies.
• Advanced proficiency in end-to-end data architecture including ingestion, storage and relational modeling with SQL and Python.
• Experience with cloud services (AWS, Azure, GCP), real-time data streaming (Kafka, Kinesis, DataFlow, Airflow), NoSQL databases, GraphQL, and modern data warehouses like Snowflake and DataBricks.
• Ability to design secure, scalable, and cost-effective data architectures and align with business roadmaps.

Responsibilities

• Design secure, scalable, and cost-effective data architecture.
• Lead adoption and integration of AWS/Azure architecture services with cross-functional teams.
• Mentor team members and collaborate with customers to improve data value.
• Articulate architectural trade-offs and guide optimal solution choices.

Skills

Data architecture

Cloud services

SQL

Python

NoSQL

Kafka

Data modeling

Leadership

Tools

Snowflake

DataBricks

MongoDB

CosmosDB

GraphQL

Kafka

Kinesis

Airflow

Job description

• We’re looking for an exceedingly versatile Senior Data Architect to work in Digital Identity & Fraud Engineering team
• As a Senior Technologist in the team, you’ll be responsible for the technical direction of our Products, ensuring that we are using appropriate technologies and helping drive initiatives to bring customer value and efficiency in operation
• You’ll work closely with enterprise teams ensuring technical choices are aligned with the overall architecture of our products
• Mentoring members of the team also forms a crucial part of the role, working alongside the team management to ensure that the team has the capabilities it needs to deliver
• Key responsibilities include designing secure, scalable, and cost-effective data architecture, working with multi-functional teams to lead the adoption and integration of AWS/Azure architecture services, and collaborating with data engineers to prepare and deliver raw data for prescriptive and predictive modeling
• Assessing and advocating data management technologies and practices eliminating gaps between the current state and a well-targeted future state
• Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps
• Formulating and articulating architectural trade-offs across solution options before recommending an optimal solution ensuring technical requirements are met
• Motivating and developing staff through teaching, empowering, and influencing technical skills
• Collaborating with customers and development staff to ensure data architecture recommendations improve the value of client data across the organization
• Driving innovative technology solutions through thought leadership on emerging trends
• Sharing project solutions and outcomes with colleagues to improve delivery on future projects

Familiarity with recommending data governance standard methodologies including MDM, security, privacy and policiesAdvanced proficiency in end-to-end data architecture solutions including ingestion, storage and relational modeling using industry standard languages including SQL and PythonDemonstrated 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 DataBricksAbility to think strategically and relate architectural decisions and recommendations to customer needs12+ years of Proven ability implementing with a variety of on-premises and cloud data management, integration, visualization, and analytical technologiesAbility to assess traditional and modern data architectural components based on business needs