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About the Role

The Principal Solution Architect, Data is responsible for defining, scaling, and governing enterprise-wide solution architecture across platforms and domains. This role shapes how technology solutions are designed, integrated, secured, and operated consistently across the organization, with a strong focus on data solution architecture, modern data platforms, data products, and AI-enabled capabilities within the Insurance business. The architect bridges business, engineering, architecture, and data teams to rapidly design, build, and deploy scalable solutions.

Responsibilities

Own and shape enterprise or business solution architecture strategy, standards, and patterns.
Define and maintain reference architectures and reusable design patterns.
Establish architectural guardrails for scalable, secure, and consistent solution design.
Lead enterprise-level design decisions for complex, high-impact initiatives.
Provide architectural oversight and guidance across portfolios.
Drive early engagement on initiatives to identify cross-platform dependencies and risks.
Partner with Enterprise Architecture and platform teams to define build vs. buy guidance and integration patterns.
Translate business and technology strategy into actionable architecture direction.
Partner with Security, Risk, and Compliance teams to embed governance and security requirements.
Define and promote best practices for operational resilience, scalability, performance, and maintainability.
Escalate enterprise exceptions, non-standard patterns, and enterprise-risk decisions.
Influence and align stakeholders across engineering, product, and business leadership.
Mentor and coach architects and senior engineers.
Represent solution architecture in enterprise forums and architecture review boards.
Influence Value Stream leaders, Product Managers, and Tech Leads on roadmaps and technical trade-offs.
Be available for production incidents with major impact to business operations.
Understand and participate across portfolio initiatives to optimize solutions and increase reuse.
Drive the adoption of a data product operating model.
Champion data product thinking, promoting customer-centric design and measurable business value.
Establish best practices for discoverability, usability, interoperability, governance, and consumption of enterprise data products.
Translate business strategy into scalable technology, data, and analytics solutions.
Lead discovery workshops and data solution design sessions.
Influence enterprise technology strategy by identifying reusable capabilities and modernization opportunities.
Develop reusable frameworks, accelerators, and reference architectures.
Design modern data platforms and pipelines supporting real-time and batch processing.
Ensure high-quality, trusted data through governance, observability, lineage, and quality controls.
Collaborate with data engineering, product, and AI teams to operationalize AI-enabled data solutions.
Foster collaboration across architecture, engineering, product management, security, data, AI, and business teams.

Requirements

Deep experience designing and governing enterprise-scale solution architectures across multiple teams and domains.
15+ years of experience in data integration, data architecture, data modeling, data engineering, solution architecture, or enterprise technology.
Proven ability to define and drive adoption of architecture standards, frameworks, and reusable patterns.
Strong understanding of modern technology ecosystems, including application architectures, APIs, integration patterns, AI, cloud platforms, and data flows.
Experience balancing business priorities, technical trade-offs, and risk at an enterprise level.
Demonstrated ability to operate at both strategic and hands-on levels.
Strong experience influencing technical direction across distributed teams without direct reporting authority.
Ability to bridge business and technology, translating strategy into clear architectural direction.
Excellent communication skills with the ability to convey complex concepts to both technical and non-technical audiences.
Experience working in regulated or risk-sensitive environments with strong awareness of governance and compliance needs.
Track record of mentoring architects and engineers.
Experience collaborating within Agile / product-based delivery models.
Experience producing product-level and team-level technical design documentation.
Proven experience designing and delivering enterprise-scale data platforms, data products, or analytics capabilities.
Strong understanding of modern data architecture principles, including data mesh, data products, metadata, governance, and domain-driven design.
Experience with modern data platforms such as Databricks, Apache Spark, Delta Lake, Kafka, or similar technologies.
Experience rolling out AI capabilities or AI-enabled solutions within a data ecosystem.
Experience within the insurance industry, including enrollment, eligibility, policy administration, billing, claims, customer data, and employer administration.
Expertise in cloud platforms such as AWS, Azure, or GCP, APIs, microservices, and distributed systems.
Strong programming and data engineering skills in Python, PySpark, and SQL.
Exceptional communication, executive presence, and stakeholder management skills.
Experience leading data product initiatives, including proof-of-concept development and feasibility assessment.
Familiarity with product management methodologies and Agile frameworks.
Must be legally authorized to work in the United States without the need for employer sponsorship.

Skills

Data integration
Data architecture
Data modeling
Data engineering
Solution architecture
Enterprise technology
Architecture standards
Architecture frameworks
Reusable patterns
Application architectures
APIs
Delivery
Integration patterns
AI
Cloud platforms
Data flows
Agile
Product-based delivery models
Technical design documentation
Data platforms
Data products
Analytics capabilities
Data mesh
Metadata
Governance
Domain-driven design
Databricks
Apache Spark
Delta Lake
Kafka
AI capabilities
Insurance industry
Enrollment
Eligibility
Policy administration
Billing
Claims
Customer data
Employer administration
AWS
Azure
GCP
Microservices
Distributed systems
Python
PySpark
SQL
Executive presence
Stakeholder management
Product management methodologies
Product-level technical design
Team-level technical design

Location

Holmdel, NJ
New York, NY
Bethlehem, PA

Work Type

Hybrid

Experience Level

Principal
15+ years

Education Level

Bachelor’s or master’s degree in computer science, Engineering, Information Systems, or a related field

Salary/Compensations

The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation.

Benefits

Support and flexibility to achieve professional and personal goals
Skill-building
Leadership development
Philanthropic opportunities
Opportunities to build communities and grow your career
Diverse colleagues with high ethical standards
Contemporary, supportive, flexible, and inclusive benefits and resources
Benefits apply to full-time eligible employees

About the Company

At Guardian, you’ll have the support and flexibility to achieve your professional and personal goals.
Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards.
As part of Guardian’s Purpose – to inspire well-being – we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues.
Explore our company benefits at www.guardianlife.com/careers/corporate/benefits.

Equal Opportunity

Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law.
Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities.
Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship.
If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact MyHR@glic.com.
Guardian Life is not currently or in the foreseeable future sponsoring employment-based visas (e.g., such as an H-1B).
As part of Guardian’s job application process, Guardian may use artificial intelligence tools (“AI Tools") to automate the sorting and filtering of information provided by applicants as part of its preliminary screening.
At Guardian, we do not use AI Tools to substantially assist or replace human judgment or discretionary decision making in our hiring process. All hiring decisions will be made by Guardian colleagues.
Please be aware that if you apply for a specific position with Guardian, you will have the choice of opting out of Guardian’s use of AI Tools during the job application process.
If you would like to request an alternative process that does not utilize AI Tools or would like to request a reasonable accommodation, within ten business days of your position application, you must email your request to MyHR@glic.com, making sure to provide your name and job requisition identification number.