Role Overview
Our cloud data platforms are
mission‑critical enterprise capabilities
, underpinning analytics, data products, AI solutions, and regulatory workloads across the organisation. We are seeking a
Principal Architect
to provide
technical and architectural leadership across the full data platform estate
, including
Snowflake, Databricks, Microsoft Fabric
.
This role is responsible for defining and evolving the
enterprise data platform strategy
, establishing
architectural standards and patterns
, and ensuring data and AI solutions are
scalable, secure, cost‑effective, and fit for enterprise use
. The role operates at the intersection of
platform engineering, architecture, security, and business enablement
, with a strong focus on
governance by design
rather than ad‑hoc control.
Key Responsibilities
1. Enterprise Data Platform Architecture & Strategy
Define and own the
end‑to‑end enterprise data platform architecture
, spanning:
Snowflake
Databricks (Azure & AWS)
Microsoft Fabric
Supporting cloud and networking services
Establish
clear architectural positioning and decision frameworks
for when and how each platform is used (e.g. analytics, data products, AI workloads).
Shape the
multi‑year data platform roadmap
, balancing delivery milestones, risk, cost, and long‑term architectural integrity.
Act as the
final architectural authority
for data‑platform‑level design decisions.
2. Data Products & Platform Enablement
Define
enterprise standards for data products
, including:
Ownership models
Contract‑based interfaces
Reuse, monetisation, and lifecycle management
Enable
data democratisation
while maintaining strong governance, security, and cost controls.
Establish
golden paths, reference architectures, and platform patterns
to accelerate safe adoption by application and domain teams.
3. AI & GenAI on Data Platforms
Define the
reference architecture for AI / ML / GenAI solutions
running on the data platform estate.
Establish
AI solution patterns
for:
GenAI applications
AI agents and orchestration
Feature engineering and model serving
Define and own
AI SDLC and CI/CD guidance
, covering:
Development
Testing
Deployment
Monitoring
Governance
Ensure AI adoption is
responsible, cost‑aware, secure, and compliant
by design.
4. Governance, Security & Operating Model
Define and evolve the
platform operating model
, including:
Clear RACI between platform, application, and security teams
Guardrails vs freedom model
Embed
security, compliance, and risk controls
into platform architectures and patterns (security‑first by design).
Work closely with:
Security architecture
Risk
Legal and governance forums
Ensure platforms operate in line with
enterprise standards, regulatory obligations, and audit expectations
.
5. Cost, Scale & Reliability
Lead
platform‑level cost optimisation strategy
, including:
Cost attribution
FinOps guardrails
Platform efficiency metrics
Design platforms for
scale, reliability, and resilience
, leveraging automation and SRE principles.
Reduce operational risk by replacing manual processes with
repeatable, automated platform capabilities
.
6. Technical Leadership & Enablement
Act as a
hands‑off technical leader
while remaining deeply knowledgeable of platform capabilities and limitations.
Mentor senior engineers, architects, and platform teams.
Contribute to
Centers of Excellence (CoEs)
by defining:
Integration patterns
Architectural standards
Best practices and policies
Represent the organisation externally with strategic partners and vendors where required.
Candidate Profile / Key Skills
Essential
10+ years’ experience in data engineering, data architecture, or platform engineering roles.
Proven experience designing
enterprise‑scale cloud data platforms
.
Strong architectural depth across:
Data warehousing
Data engineering
Analytics platforms
AI / ML workloads
Experience defining
platform strategy, roadmaps, and operating models
.
Strong understanding of
security, governance, and compliance
in large regulated environments.
Excellent stakeholder management and communication skills.
Technical Expertise (Breadth over Depth)
Deep expertise in at least one core data platform (Snowflake, Databricks, or Microsoft Fabric), with strong working knowledge of the others, including their architecture and operating characteristics.
Strong knowledge of:
Data product architectures
Lakehouse and warehouse patterns
Streaming and batch processing
Familiarity with AI / ML platforms and tooling (conceptual and architectural level).
Experience with cloud platforms (AWS / Azure) and shared enterprise services.
Expert knowledge of SQL and Python ( or PySpark)
Understanding of DevOps / CI‑CD / Infrastructure as Code from an architectural standpoint.
Desired / Nice to Have
Experience in financial services or other regulated industries.
Experience defining
AI governance frameworks
or responsible AI controls.
Relevant cloud or platform certifications.
Prior experience influencing vendor roadmaps or acting as an enterprise reference customer.
Career Stage:
Manager
London 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.
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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,
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.
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