Senior Cloud Data Architect - Identity & Fraud, AWS/Azure

London Stock Exchange

Greater London

On-site

GBP 110,000 - 160,000

Full time

6 days ago
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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

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

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