Jobs / United States / Zoominfo Technologies LLC
Principal Infrastructure Architect: Data Platform
Zoominfo Technologies LLC · 🇺🇸 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 24 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 27 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 Zoominfo Technologies LLC paid sponsored hires in similar roles4 certified filings for “Data Engineer III” (Data Scientists) in MA: $128k–$139k, median $129k. Most were filed at wage level I (33%) — 1 lottery entry, ≈15% 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.
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Sponsor Radar — Zoominfo Technologies LLC
The US Department of Labor certified 24 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 27 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 Zoominfo Technologies LLC →
About the role
ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast. As a Principal Infrastructure Architect on our Infrastructure Architecture team, you will be the architecture team's partner to ZoomInfo's data engineering organization. Data engineering owns the platforms and the products built on them. You bring the infrastructure patterns, evaluation rigor, and cross-team alignment that help them build and run those platforms well on GCP. This is a cloud architect seat with a data specialty. You bring the same cloud, Kubernetes, networking, and infrastructure-as-code foundation as the rest of the architecture team, plus enough hands-on depth in data systems to be credible with the engineers who run them. The work breaks down four ways: • Patterns. You establish and maintain the paved-road patterns data teams build on: infrastructure as code, CI/CD for data jobs and pipelines, monitoring and alerting, performance, and cost. You keep them easy to consume and self-service. • Enablement and alignment. You help data teams adopt those patterns, review their designs, and work through hard infrastructure trade-offs with them. • Evaluation. You run POCs of new data technologies and vendor offerings as part of the procurement and technology-lifecycle process, and you write recommendations engineering leaders can act on. • Shared stewardship. You take a full share of the architecture team's general work: weekly architecture reviews across all domains, standards and ADRs, and infrastructure consulting for any team that needs it. The data estate is broad. We don't expect deep experience across all of it. We expect real depth in some areas and the ability to build depth in others as the work demands. Patterns get adopted here through leadership and communication rather than positional authority. You'll write reference implementations, open the first PRs, and stay hands-on through enablement when a critical initiative calls for it. What You'll Do • Establish infrastructure patterns for data workloads. Design and maintain reference patterns for provisioning and operating the data platforms ZoomInfo runs: streaming and messaging (Kafka/Confluent, Pub/Sub), operational databases (PostgreSQL/Cloud SQL, MongoDB), analytical stores (BigQuery, Snowflake), search (Elasticsearch/Solr), pipeline orchestration and processing (Apache Airflow/Cloud Composer, Dataflow/Apache Beam), and open table formats (Apache Iceberg). Ship them as Terraform modules, GitOps workflows, and documented standards that data teams can adopt without reinventing them. • Build the data paved road. Today's delivery tooling is application-centric. Define CI/CD and GitOps patterns for data jobs and pipelines, and partner with platform engineering and data engineering to make data delivery as safe and automated as application delivery. • Establish performance, cost, and observability patterns. Give data teams the patterns and guidance to run stores and pipelines efficiently (query and storage optimization, partitioning and clustering, tiering and retention, workload isolation, right-sizing) and the monitoring, alerting, and SLO practices that make performance and cost visible. Set the baseline patterns for backup, restore, and disaster recovery of data stores, including RTO/RPO targets. Partner with FinOps on data-layer spend. Review workloads with teams against these patterns and help them align. • Evaluate new technologies. Run structured POCs of emerging data technologies and vendor offerings as