1 month ago
Responsibilities
- Develop privacy-preserving mechanisms, derived signals, and shared semantics for cross-border data products.
- Build cross-border entity resolution and record-linkage capabilities in collaboration with data science teams.
- Create semantic, ontology, discovery, governance, and access layers that make data accurate and compliant for AI agents.
- Guide technology adoption through reference implementations and reusable platform patterns.
- Lead focused prototyping and R&D efforts with product and engineering teams to validate Data & AI capabilities.
- Mentor engineers in fundamentals-based reasoning, system design, and product awareness.
Requirements
- 10+ years of software engineering experience focused on data platforms, analytics infrastructure, and AI/ML systems.
- Bachelor's degree or higher in science, technology, engineering, or a related field.
- Ability to reason from first principles about platform tradeoffs and explain system behavior at the mechanism level.
- Hands-on experience across the data lifecycle from ingestion and transformation through BI and ML consumption.
- Experience with data modeling, schema design, data quality, lineage, catalog metadata, and governance systems at scale.
- Experience designing unified, governed access to data across systems and evolving shared platform architectures.
- Experience with distributed computing, cloud-native infrastructure, infrastructure as code, and production workloads; Amazon Web Services experience preferred.
- Hands-on experience with graph databases, entity resolution, or record-linkage systems.
Benefits
- Compensation package and bonus plan; the posting states that a base pay range applies but does not provide the figures.
- Medical, dental, vision, and matching 401(k) benefits.
- Remote, hybrid, or in-office work options with flexible working arrangements.
- Flexible time off including volunteer time off, vacation, sick leave, and 12 paid holidays.
Tech Stack
Categories
Data Engineering
About Experian
Experian builds credit reporting, identity and fraud prevention, and data analytics software that help lenders, insurers, healthcare providers, and marketers make decisions; it also offers consumer credit monitoring and scores. The company earns via data licensing, decisioning software, and subscription services, operates in 30+ countries, is headquartered in Costa Mesa, California, and is a FTSE 100 public company listed on the London Stock Exchange (EXPN); it is one of the three major U.S. credit bureaus.