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About the Role

We're looking for an exceedingly versatile Senior Data Architect to work in the Digital Identity & Fraud Engineering team. As a Senior Technologist, you’ll be responsible for the technical direction of our Products, ensuring appropriate technologies are used and driving initiatives for customer value and operational efficiency. You’ll work closely with enterprise teams to align technical choices with product architecture and mentor team members.

Responsibilities

Design secure, scalable, and cost-effective data architecture.
Work with multi-functional teams to 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 current and future states.
Interpret and deliver impactful strategic plans to improve data integration, quality, and delivery.
Formulate and articulate architectural trade-offs across solution options before recommending an optimal solution.
Motivate and develop staff through teaching, empowering, and influencing technical skills.
Collaborate with customers and development staff to ensure data architecture recommendations improve client data value.
Drive innovative technology solutions through thought leadership on emerging trends.
Share project solutions and outcomes with colleagues to improve future project delivery.

Requirements

12+ years of proven ability implementing with 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 industry standard languages including SQL and Python.
Demonstrated 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 DataBricks.
Ability to think strategically and 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.

Skills

SQL
Python
AWS
Azure
GCP
Kafka
Kinesis
DataFlow
Airflow
MongoDB
DynamoDB
HBase
CosmosDB
GraphQL
Snowflake
DataBricks
MDM
Data Governance

Location

London

Work Type

Full-time

Experience Level

Senior
Manager

Benefits

Healthcare
Retirement planning
Paid volunteering days
Wellbeing initiatives

About the Company

LSEG is a leading global financial markets infrastructure and data provider.
Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day.
We are a dynamic organisation of 25,000 people across 65 countries.
We are committed to sustainability across our global business.
Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence.
Colleagues can get involved through fundraising and volunteering.

Equal Opportunity

We are proud to be an equal opportunities employer.
This means that we do not discriminate on the basis of anyone’s 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.
Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.