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1 день назад

Principal Solution Architect, Data (Group Benefits)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Principal Solution Architect, Data (Group Benefits) (Enterprise Data Architecture): Designing scalable data platforms, data products, and AI-enabled capabilities for insurance operations with an accent on architecture standards, governance, and reusable patterns. Focus on building real-time and batch data pipelines, improving data quality and discoverability, and aligning cross-functional teams across underwriting, enrollment, billing, claims, and customer service.

Location: Hybrid role requiring three days per week at a hirify.global office in Holmdel, NJ; New York, NY; or Bethlehem, PA.

Work authorization: Must be legally authorized to work in the United States without current or future employer sponsorship. hirify.global does not sponsor employment-based visas.

Company

hirify.global is an insurance organization focused on group benefits and related customer, employer, and business services.

What you will do

  • Define enterprise and business solution architecture strategies, standards, reference architectures, guardrails, and reusable design patterns.
  • Lead architecture decisions for complex initiatives spanning multiple platforms, value streams, and business units.
  • Design modern data platforms and pipelines supporting real-time and batch processing, scalable integration, and enterprise analytics.
  • Drive adoption of a data product operating model, including ownership, discoverability, interoperability, governance, and measurable business value.
  • Embed security, risk, compliance, resilience, performance, observability, lineage, metadata, and automated data quality controls into solutions.
  • Collaborate with business, product, engineering, cybersecurity, platform, data, and AI teams while mentoring architects and senior engineers.

Requirements

  • 15+ years of experience in data integration, data architecture, data modeling, data engineering, solution architecture, or enterprise technology.
  • Experience designing and delivering enterprise-scale data platforms, data products, or analytics capabilities.
  • Strong knowledge of data mesh, data products, metadata, governance, domain-driven design, APIs, microservices, cloud platforms, and distributed systems.
  • Experience with Databricks, Apache Spark, Delta Lake, Kafka, or similar modern data technologies, plus Python, PySpark, and SQL.
  • Experience implementing AI-enabled solutions within data ecosystems and working in regulated or risk-sensitive environments, including insurance.
  • Bachelor’s or master’s degree in computer science, engineering, information systems, or a related field, with strong communication and stakeholder-management skills.

Nice to have

  • Experience leading data product proofs of concept and feasibility assessments.
  • Familiarity with product management methodologies and Agile frameworks.

Culture & Benefits

  • Support for professional skill-building, leadership development, and philanthropic opportunities.
  • Contemporary, supportive, flexible, and inclusive benefits and resources.
  • Benefits are available to eligible full-time employees.
  • AI tools may be used for preliminary application screening, with an option to request an alternative process.

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