Principal Solution Architect, Data (FPRS & CSWM)
The Guardian Life Insurance Company of Americafull time · Lead / Staff / Principal
$152,290 – $250,195
Listed on The Guardian Life Insurance Company of America’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
A Principal Solution Architect leads enterprise-wide data platform strategy and modern data product initiatives for an insurance company, bridging business and technology teams to design scalable, governed solutions that accelerate delivery. This role suits experienced architects with deep data expertise, insurance domain knowledge, and the ability to influence strategy and standards across distributed organizations.
Our summary, not The Guardian Life Insurance Company of America’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- Apache Kafka
- Apache Spark
- Data Architecture
- Data Governance
- Databricks
- Enterprise Architecture
- Metadata Management
- Microservices
- Microsoft Azure
- PySpark
- Python
- SQL
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What they ask for
Required
- 15+ years in data integration, data architecture, data engineering, solution architecture, or enterprise technology
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field
- Experience designing and delivering enterprise-scale data platforms, data products, or analytics
- Deep knowledge of modern data architecture principles including data mesh, data products, and metadata governance
- Experience with modern data platforms such as Databricks, Apache Spark, Delta Lake, or Kafka
- Proficiency in Python, PySpark, and SQL
- Experience in regulated or risk-sensitive environments with governance and compliance awareness
- Strong ability to influence technical direction across distributed teams without direct authority
- Experience within insurance industry including enrollment, eligibility, policy administration, billing, and claims
Nice to have
- Master's degree in Computer Science or related field
- Experience rolling out AI capabilities or AI-enabled solutions within a data ecosystem
- Familiarity with product management methodologies
- Experience leading proof-of-concept development and feasibility assessment