Principal - Cloud Data Architect
Allen, Texas
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
What you’ll work on
Full postingDesign secure, scalable, cost-effective data architecture
Lead adoption and integration of AWS/Azure architecture services
Prepare and deliver raw data with data engineers for modeling
Mentor and develop technical staff
Weigh architectural trade-offs before recommending a solution
From the employer’s posting
designing secure, scalable, and cost-effective data architecture
lead the adoption and integration of AWS/Azure architecture services
collaborating with data engineers to prepare and deliver raw data for prescriptive and predictive modeling
Motivating and developing staff through teaching, empowering, and influencing technical skills.
Formulating and articulating architectural trade-offs across solution options before recommending an optimal solution
Tools in this posting
- Python
- SQL
- AWS
- Azure
- Databricks
- Dynamodb
- Google Cloud (GCP)
- Kafka
- MongoDB
- NoSQL
- Snowflake
- Airflow
Source — Tool mentions in context
- 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
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
- 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.
About London Stock Exchange Group
Risk Intelligence is a key division within LSEG, dedicated to providing critical insights and solutions that help our clients manage and mitigate risk.
In the employer’s words · Read in context
Posting record
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- Live
- First seen by us
- Aug 13, 2026 · 66 days ago
- Recorded sightings
- 198
- Last seen by us
- Oct 18, 2026
- Employer says posted
- Jul 29, 2026
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Job description
About Risk Intelligence
Risk Intelligence is a key division within LSEG, dedicated to providing critical insights and solutions that help our clients manage and mitigate risk. By bringing to bear advanced analytics and deep expertise, we empower businesses to make informed decisions and navigate the complexities of the global commerce.
Why Join Us?
Global Impact: Headquartered in the United Kingdom, we operate in 70 countries across EMEA, North America, Latin America, and Asia Pacific.
Diverse Workforce: We employ 25,000 people globally, with more than half located in Asia Pacific.
Legacy of Excellence: Our ticker symbol, LSEG, represents our long-standing commitment to financial markets.
Join us and be part of a team that is driving innovation and making a difference! in the global financial fraud landscape.
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.
Career Stage:
ManagerLondon Stock Exchange Group (LSEG) Information:
Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
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 purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
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.
You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. 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.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.
If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
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Allen, Texas
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