Principal - Cloud Data Architect

Senior Data Architect – Digital Identity & Fraud Engineering

We’re looking for an exceedingly versatile Senior Data Architect to work in the 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 use appropriate technologies and helping drive initiatives to bring customer value and operational efficiency. You’ll work closely with enterprise teams to align technical choices with the overall architecture of our products and mentor team members to build the capabilities needed to deliver.

• Design secure, scalable, and cost‑effective data architecture and lead the adoption and integration of AWS/Azure architecture services.
• Collaborate with data engineers to prepare and deliver raw data for prescriptive and predictive modeling.
• Assess and advocate data management technologies and practices, eliminating gaps between the current state and targeted future state.
• Interpret and deliver strategic plans that improve data integration, quality, and delivery in support of business initiatives and roadmaps.
• Formulate and articulate architectural trade‑offs across solution options before recommending the optimal solution that meets technical requirements.
• Motivate and develop staff through teaching, empowering, and influencing technical skills.
• Collaborate with customers and development staff to ensure data architecture recommendations improve the value of client data across the organization.
• Drive innovative technology solutions through thought leadership on emerging trends.
• Share project solutions and outcomes with colleagues to improve delivery on future projects.

• 12+ years of proven ability implementing a variety of on‑premises and cloud data management, integration, visualization, and analytical technologies.
• Advanced proficiency in end‑to‑end data architecture solutions, including ingestion, storage and relational modeling using SQL and Python.
• Experience designing and implementing modern data architectures with cloud services (AWS, Azure, GCP), real‑time data distribution (Kafka, Kinesis, Data Flow, Airflow), No
  
  SQL (Mongo
  
  DB, Dynamo
  
  DB, HBase, Cosmos
  
  DB), Graph
  
  QL, and modern data warehouse tools (Snowflake, Data Bricks).
• Strategic thinking and the ability to relate architectural decisions and recommendations to customer needs.
• 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.

We are proud to be an equal opportunities employer. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. We can reasonably accommodate applicants’ and employees’ religious practices and beliefs, mental health, or physical disability needs.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.