Jobs / United States / Cigna Health And Life Insurance Company
Principal Data & Solution Architect
Cigna Health And Life Insurance Company · 🇺🇸 United States Work at Home
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 14 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 30 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 Cigna Health And Life Insurance Company paid sponsored hires in similar roles2 certified filings for “Data Science Advisor” (Data Scientists) in CT: $123k–$140k, median $132k. Most were filed at wage level III (50%) — 3 lottery entries, ≈46% 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).
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Sponsor Radar — Cigna Health And Life Insurance Company
The US Department of Labor certified 14 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 30 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 Cigna Health And Life Insurance Company →
About the role
Job Description • The Principal Data / Solution Architect is the senior hands-on architect responsible for designing the reusable data and solution architectures that power the enterprise’s data and digital products through MVP. Reporting to the Senior Director, Data & Digital Product Solution Architecture, this role translates architectural direction into concrete, buildable designs on the centralized, enterprise-agnostic medallion architecture models. • This is a deep-expertise individual contributor role — the technical authority on data modeling, solution design, and the medallion architecture (Bronze/Silver/Gold). The Principal Architect works shoulder-to-shoulder with Data Engineering, Data Analysis & Products, Digital Product, and Analytics teams to design reusable assets, refactor bespoke work onto governed sources, and apply AI and automation to compress modeling time. • This role is a critical execution counterpart to the engineering teams, ensuring that architectural intent is realized in production-ready, reusable designs rather than one-off builds. The Principal Architect sets the technical standard others build against and mentors engineers and analysts on architecture and modeling best practices. Key Responsibilities Data & Solution Architecture • Design the reusable, scalable, enterprise-agnostic data models and solution architectures that underpin the enterprise medallion architecture. • Produce concrete architecture artifacts — data models, solution blueprints, reference patterns, and design specifications — that engineering and product teams build against. • Translate the Senior Director’s architectural direction into buildable, production-ready designs aligned to enterprise standards. Modeling & Silver-Layer Design • Own the design of the medallion architecture, ensuring data is structured for reuse across multiple use cases rather than bespoke consumption. • Define transformation logic, data relationships, semantics, and readiness criteria needed by Data Engineering and Analysis teams. • Refactor raw, bespoke solutions onto the centralized, agnostic Silver model so value is captured once and reused many times. AI-Accelerated Design & Automation • Apply AI and automation to accelerate modeling, design, and documentation — compressing the modeling cycle that has historically slowed the path to production. • Build and reuse accelerators, templates, and design patterns that turn learning-stage work into durable, production-ready assets. • Embed human-in-the-loop checkpoints so acceleration never bypasses governance, security, or quality expectations. Hands-On Delivery & Integration • Partner directly with Data Engineering to ensure designs are implemented faithfully and promoted to production through governed CI/CD pipelines. • Integrate data and digital product solutions onto shared, reusable sources, ensuring alignment with the enterprise medallion model. • Validate that engineered datasets, data products, and integrated solutions reflect the architectural design and support reuse. Technical Standards & Mentorship • Serve as the technical authority on data and solution architecture, setting patterns and standards others build against. • Mentor and guide engineers and analysts on modeling, architecture, and reusable design best practices. • Contribute to the centralized library of reusable models, patterns, and components so every asset compounds the value of the next. Required Experience & Capabilities • Deep, hands-on experience as a data architect and/or solution architect in a complex enterprise data environment. • Expert knowledge of medallion architecture (Bronze/Silver/Gold), reusable data modeling, and enterprise-agnostic data design. • Proven ability to translate architectural