Principal - Cloud Data Architect

LSEG (London Stock Exchange Group); Allen (TX); On-site; USD 140,000 - 200,000; Full time

Job summary

LSEG (London Stock Exchange Group) in Allen, Texas seeks a Senior Data Architect to shape data strategy across Digital Identity & Fraud Engineering. You will design secure, scalable data architectures, guide cloud adoption (AWS/Azure), and partner with data engineers to prepare data for analytics.

You will mentor team members, communicate trade-offs, align solutions with business needs, and drive innovation with emerging data technologies.

Qualifications

• Over 12 years of experience implementing data management, integration, visualization, and analytics across on-premises and cloud environments.
• End-to-end data architecture proficiency including ingestion, storage, and relational modeling with SQL and Python.
• Experience with modern data architectures, cloud services (AWS/Azure/GCP), real-time data distribution (Kafka, Kinesis, DataFlow, Airflow), NoSQL, GraphQL, and data warehousing tools.

Responsibilities

• Design secure, scalable, and cost-effective data architectures within cross-functional teams.
• Lead adoption/integration of AWS/Azure architecture services and collaborate with data engineers.
• Prepare and deliver raw data for prescriptive and predictive modeling.
• Assess and advocate data management technologies to close gaps between current and target states.
• Improve data integration, quality, and delivery to support business initiatives and roadmaps.
• Articulate architectural trade-offs and recommend optimal solutions meeting requirements.
• Mentor staff and develop technical capabilities in the team.
• Collaborate with customers and development staff to increase value of client data.

Skills

Data architecture

Cloud architecture

SQL

Python

NoSQL databases

Data modeling

Leadership/mentoring

Stakeholder comms

Tools

Snowflake

DataBricks

Kafka

Kinesis

Airflow

MongoDB

DynamoDB

CosmosDB

AWS

Azure

GCP

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.

Responsibilities

• 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.

Skills/Experience

• 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.

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.

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