Principal Cloud Data Architect

London Stock Exchange; Greater London; On-site; GBP 110,000 - 160,000; Full time

Job summary

London Stock Exchange in London is seeking an exceedingly versatile Senior Data Architect to lead the Digital Identity & Fraud Engineering team, shaping the technical direction of our products and ensuring we deploy the right data tech to deliver customer value and operational efficiency.

You will mentor the team, collaborate with enterprise groups, and work on secure, scalable cloud data architectures (AWS/Azure), data governance, and real-time data pipelines for prescriptive and predictive

Qualifications

• 12+ years of experience implementing on-premises and cloud data architectures.
• Ability to design secure, scalable data architectures with cloud services (AWS/Azure).
• Experience guiding data governance, privacy, and MDM practices.

Responsibilities

• Design secure, scalable, and cost-effective data architectures.
• Lead adoption and integration of AWS/Azure services with cross-functional teams.
• Collaborate with data engineers to prep and deliver raw data for modeling.
• Assess data management technologies and close gaps to future state.
• Improve data integration, quality, and delivery to support roadmaps.
• Articulate architectural trade-offs and recommend optimal solutions.
• Mentor staff and develop technical capabilities.
• Collaborate with customers and development staff to maximize data value.
• Drive innovative technology solutions and share project learnings.

Skills

Cloud architecture

Data modeling

Real-time data streaming

SQL

Python

NoSQL

GraphQL

Snowflake

Data governance

Leadership

Tools

Kafka

Kinesis

DataFlow

Airflow

MongoDB

DynamoDB

HBase

CosmosDB

Snowflake

DataBricks

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

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