Staff Architect – Data Platform

🕒 September 29

💵 $137.1k - $246.8k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

Where this job comes from

Posted on Experian's careers page ↗Experian's careers page, not through a job board

First seen by Remote Rocketship September 29

Still open on Experian's site. Checked 3 hours ago.

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Logo of Experian

Experian

10,000+ employees

Founded 1996

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.

📋 Description

• Develop privacy-preserving mechanisms, derived signals, and shared semantics for cross-border data products • Build cross-border entity resolution as a foundational capability • Collaborate with data science teams on matching approaches and match quality • Build semantic and ontology layers that make data consumable by AI agents across regions • Implement governed discovery and compliant access paths • Guide technology adoption through reference implementations and reusable engineering patterns • Lead prototyping and R&D efforts with product and engineering teams • Mentor engineers in fundamentals thinking, system design, and product awareness • Report to the Sr. Director of Platform Engineering as an individual contributor

🎯 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 • First-principles reasoning about platform tradeoffs and ability to explain system behavior at the mechanism level • Hands-on experience across the full data lifecycle, from ingestion to transformation and BI/ML consumption • Experience with data modeling, schema design, data quality, lineage, catalog metadata, and governance at scale • Experience designing architectures for unified, governed access to data across systems • Experience overseeing and evolving shared platform architectures • Experience with distributed computing and cloud-native infrastructure; Amazon Web Services preferred • Comfort with infrastructure as code and operating production workloads • Hands-on experience with graph databases, entity resolution, or record linkage systems

🏖️ Benefits

• Great compensation package and bonus plan • Medical, dental, and vision benefits • Matching 401K • Flexible work environment with remote, hybrid, or in-office options • Flexible time off • Volunteer time off • Vacation • Sick leave • 12 paid holidays • Variable pay opportunity • Comprehensive benefits package

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