Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Backed by Correlation Ventures.
About the role
We are looking for a Staff Architect to join our Data & AI Platform Architecture team. We are a small, high impact group that shapes technology strategy across analytics products, AI/ML enablement, and data infrastructure at enterprise scale.
What they're looking for
- 10+ years of software engineering experience, with a focus on data platforms, analytics infrastructure, and AI/ML systems
- Bachelor's degree or higher in science, technology, engineering, or a related field
- Demonstrated first-principles reasoning about platform tradeoffs, able to explain at the mechanism level why a system behaves the way it does
- Hands-on experience across the full data lifecycle, from ingestion to transformation, from delivery into BI and ML consumption
- Experience with data modeling, schema design, and data quality as platform engineering concerns, building the systems that enforce lineage, catalog metadata, and governance policy at scale
- Experience designing architectures that deliver unified, governed access to data across systems
More about this role
We are looking for a Staff Architect to join our Data & AI Platform Architecture team. We are a small, high impact group that shapes technology strategy across analytics products, AI/ML enablement, and data infrastructure at enterprise scale.
This is a role for a builder-architect , someone with deep fundamentals in data, analytics, and MLOps platforms. You are equally comfortable evaluating build-vs-buy tradeoffs, integrating commercial platforms where they're the right tool, and building the missing primitives yourself when they're not.
You reason from fundamentals about how data moves within an organization, and how value is generated from it. You understand how organizations have traditionally made data usable for human users and how to extend it to be usable by AI agents.
You will sit within a global team chartered to build global data products and the mechanisms that make cross-border workflows possible. You will lead how we make regional data usable across borders by applying semantic and ontology standards across regions, and entity resolution that connects regional data without centralizing it.
You will report to the Sr. Director of Platform Engineering. This is an...
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