ISS STOXX
Financial Market
PrincipalSoftwareEngineer
Neural analysis suggests this role is
optimal for Lead candidates.
“Principal Software Engineer at ISS STOXX. Skills: Data Distribution, Cloud Architecture, Software Engineering, Technical Leadership. Co-own data distribution architecture evolution. Design, build, operate data ecosystems”
What You'll Achieve.
Consistently delivering value in complex, evolving environments; Building systems that scale with business and organisation
Industry & Context.
Turn complex requirements into scalable solutions; Pragmatic decision-making; Helping teams progress with clarity despite ambiguity
What They're Looking For.
Must Have
10+ years’ experience, 5+ years in senior data/platform engineering roles, Proven experience designing, building and running large-scale, business-critical data ecosystems, Hands-on experience with real-time and batch pipelines, APIs, and distributed systems, Experience with user identity and entitlement management in data access contexts, cloud experience (GCP exposure required), Experience delivering complex migration programmes across systems and processes, Ability to influence technical direction without formal authority, Focus on simplicity, reuse, automation and observability, Proficiency in Python, Golang, SQL and modern API frameworks
Nice to Have
Generative AI-enabled SDLC approaches, experience with data distribution architectures and associated trade-offs, Experience delivering complex programmes iteratively, with a focus on value and managing uncertainty, communication and collaboration skills in global environments, Mentor and support engineering, contribute to hiring
What You'll Do.
Co-own data distribution architecture evolution
operate data ecosystems
Translate product needs into technical delivery
leading through execution
Guide teams on distribution patterns
Support iterative delivery
Advocate for architectural principles
Mentor and support engineering
Stay current on trends
How You'll Work.
Team & Collaboration
Collaborate with Product to shape direction; Collaborate with Engineering to design, build, validate, and migrate; Collaborate globally, sharing best practices; Enable others; Raise the bar across teams
Communication Scope
Communication and collaboration skills in global environments
Process & Methodology
Delivering complex programmes iteratively, Managing uncertainty, Balancing speed, risk and value
Full Job Description
Let’s be #BrilliantTogether ISS STOXX is seeking a Principal Software Engineer on Data Distribution to bring expert-level technical leadership to the development and deployment of our financial data distribution platform. We are re-architecting our distribution ecosystem into a modern, componentized set of solutions using GCP. In this hands-on IC role, you will collaborate with Product to shape direction and with Engineering to design, build, validate and migrate to a new platform serving business-critical data at scale. You’ll be passionate about delivering incremental value. You bring experience applying modern (including Generative AI-enabled) SDLC approaches to turn complex requirements into scalable solutions, and are comfortable operating in matrixed environments where influence, not hierarchy, drives direction. You will collaborate globally, sharing best practices and continuously improving how teams design, build and deliver. You are a humble expert who leads by example—using data, proof-of-concepts, and pragmatic decision-making to bring others along. You balance personal ownership with enabling others, raising the bar across teams while staying deeply hands-on. Success in this role means consistently delivering value in complex, evolving environments—helping teams progress with clarity despite ambiguity, avoiding big-bang delivery, and building systems that scale with both the business and the organisation. **Responsibilities** * Co-own the evolution of our data distribution architecture with peer Principal Engineers * Design, build and operate business-critical data ecosystems with a focus on scalability and resilience * Translate product needs and enterprise policies into clear technical delivery * Remain hands-on, leading through execution * Guide teams on distribution patterns, including APIs, streaming, events, file/object delivery and marketplace channels * Optimise performance through approaches such as caching and CDNs where appropriate * Drive bes
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