Senior Cloud Data Architect - Data Governance & AI

United States Digital Space LLC; Greater London; On-site; GBP 120,000 - 160,000; Full time

Benefits offered by this job

Healthcare

Retirement planning

Volunteer days

Wellbeing programs

Job summary

London Stock Exchange Group (LSEG) is seeking a Senior Data Architect to lead the design of secure, scalable data architectures for Digital Identity and Fraud Engineering. You will drive AWS/Azure data service adoption, collaborate with data engineers, and ensure data quality and governance across products.

The role emphasizes strategic thinking, leadership, and mentoring to build capabilities within the team while aligning with overall architecture.

Qualifications

• 12+ years of data architecture experience across on-prem and cloud environments.
• 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) and modern data warehouses (Snowflake, DataBricks).
• Proven ability with real-time data distribution (Kafka, Kinesis, DataFlow, Airflow).
• Strong data governance, security, privacy, and policy knowledge.

Responsibilities

• Design secure, scalable data architectures and cost-effective data solutions.
• Lead adoption and integration of AWS/Azure data services with data engineers.
• Improve data integration, quality, and delivery to support business initiatives.
• Articulate architectural trade-offs and ensure technical requirements are met.
• Mentor and develop team members to strengthen technical capabilities.

Skills

Data architecture

Cloud architecture

SQL

Python

NoSQL

Kafka

Data governance

Leadership

Tools

Snowflake

Databricks

MongoDB

DynamoDB

HBase

CosmosDB

Kafka

Job description

London Stock Exchange Group (LSEG) is seeking a Senior Data Architect to lead the design of secure, scalable data architectures for Digital Identity and Fraud Engineering. You will drive AWS/Azure data service adoption, collaborate with data engineers, and ensure data quality and governance across products.

The role emphasizes strategic thinking, leadership, and mentoring to build capabilities within the team while aligning with overall architecture.