Jobs / United States / Experian Information Solutions INC

Staff Architect - Data Platform (Remote)

Experian Information Solutions INC · 🇺🇸 United States, UNITED STATES, US (Remote) · Remote

Sponsorship verdict

Sponsorship possible

One solid signal, not two — worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 65 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 34 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
  • What Experian Information Solutions INC paid sponsored hires in similar roles6 certified filings for “Data Management Analyst Lead” (Data Scientists) in CA: $145k–$180k, median $168k. Most were filed at wage level IV (50%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
  • Confirmed live todayWhen a source last listed this job as open.

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.

Start free →

Or apply yourself on the official page →

Sponsor Radar — Experian Information Solutions INC

65 H-1B filings certified since Oct 2025

The US Department of Labor certified 65 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 34 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).

Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Experian Information Solutions INC →

About the role

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. 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 individual contributor position.   What you'll do here • Develop the mechanisms that make cross-border data products possible by privacy-preserving techniques, derived signals that can cross borders, and shared semantics • Build cross-border entity resolution as the foundational capability underneath those products, working with our data science teams on matching approaches and match quality. • Build the layers that make our data consumable by agents with semantics and ontologies across regions, governed discovery, and access paths that keep usage accurate, and compliant. • Guide technology adoption across engineering teams through reference implementations and reusable patterns that teams adopt • Lead focused prototyping and R&D efforts with product and engineering teams to validate new Data & AI capabilities • Mentor engineers across the organization in your areas of expertise, with a focus on fundamentals thinking, system design, and product awareness. • 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 • Demonstrated experience overseeing and evolving shared platform architectures, including setting boundaries, managing tradeoffs, and adapting designs • Experience with distributed computing and cloud-native infrastructure (Amazon Web Services preferred), including the cost and operational dynamics of running data workloads • Comfort with infrastructure as code and operating production workloads. • Hands-on experience with graph databases, entity resolution or record linkage systems Benefits/Perks: • Great compensation package and bonus plan • Core benefits including medical, dental, vision, and matching 401K • Flexible work environment, ability to work remote, hybrid or in-office • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays • Explore all our exciting benefits here: https:

View the official posting →

Source: smartrecruiters First seen: 2026-10-01 Last confirmed: 2026-10-03 How our data works → Report this job

Similar opportunities