1 день назад
Principal Solution Architect, Data (Group Benefits)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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 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. does not sponsor employment-based visas.
Company
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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