Staff Architect – Data Platform

Experian

. Develop privacy-preserving mechanisms, derived signals, and shared semantics for cross-border data products .

Posted 9/29/2026full-timeRemote • California • United StatesLead💰 $137,102 - $246,784 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in software engineering with a focus on data platforms, analytics infrastructure, and AI/ML systems. Proficient in data modeling, schema design, and implementing governed access to data across systems.

Highest-signal resume keywords

10+ Years Software Engineering ExperienceData Modeling and Schema DesignDistributed Computing and Cloud-Native InfrastructureGraph Databases and Entity ResolutionFirst-Principles Reasoning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data PlatformsAnalytics InfrastructureAI/ML SystemsData QualityData LineageData Catalog MetadataGovernance at ScaleSystem DesignFull Data LifecycleProduction Workloads

Soft Skills

MentoringCollaborationCommunication

Tools & Technologies

Amazon Web ServicesInfrastructure as CodeGraph Databases

Industry Keywords

Cross-Border Data ProductsEntity ResolutionSemantic LayersOntology LayersGoverned Discovery

Tech Stack

Tools & technologies

AWSCloud

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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