> Markdown version of [/jobs/ext/2027449-principal-solution-architect-data-fprs-cswm](https://www.wearedevelopers.com/jobs/ext/2027449-principal-solution-architect-data-fprs-cswm). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Principal Solution Architect, Data (FPRS & CSWM)

- **Company:** The Guardian Life Insurance Company of America
- **Location:** Bethlehem, PA, United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cyber Security, Data Governance, Data Integration, Data Systems, Software Design Patterns, Python (Programming Language), Metadata, Standard Sql, Data Streaming, Cloud Platform System, Apache Spark, Data Lakes, Pyspark, Data Analytics, Apache Kafka, Data Management, Databricks
- **Published:** August 11, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/principal-solution-architect-data-fprs-and-cswm-bethlehem-pa-usa-58891806

## About the Role

security trade-offs, and risk at scale * Experience influencing technical direction without direct reporting authority * Excellent communication skills for both technical and non-technical audiences * Experience in regulated or risk-sensitive environments with governance needs * Mentoring track record and experience in Agile/product-based delivery models * 15+ years of data integration/architecture/engineering/solution architecture or related fields * Bachelor's or Master's degree in related field * Proven experience delivering enterprise-scale data platforms or data products * Familiarity with data governance, metadata, and data quality practices * Strong skills in Python, PySpark, SQL * Experience with Databricks, Apache Spark, Delta Lake, Kafka * Cloud platform experience (AWS/Azure/GCP) * Experience leading data product initiatives including PoCs * Executive stakeholder management and product management collaboration Key requirements * leadership development * philanthropic aaaaaa
Ability * supportive and flexible benefits * career growth opportunities * inclusive culture * data-driven impact

## Description

Experteer Overview In this role you will define and govern enterprise-scale data-focused solution architecture, aligning business and technology goals across portfolios. You will shape reference architectures, guardrails, and data product patterns to enable secure, scalable solutions across multiple domains. You will partner with Enterprise Architecture, Engineering, Product, Cybersecurity, and Platform teams to embed governance, security, and compliance while advancing data-driven capabilities. This position offers impact through data products, AI-enabled solutions, and scalable platforms that improve underwriting, billing, and customer experiences. Compensation / Benefits * Define and maintain enterprise-scale solution architecture strategy, standards, and patterns across multiple platforms and domains * Create reference architectures, reusable design patterns, and golden paths for consistent delivery * Establish architectural guardrails to enable scalable, secure, and consistent designs * Provide architectural oversight across portfolios and liaise with EA, engineering, and product teams * Drive early engagement to identify cross-platform dependencies and risks * Define build vs. buy guidance and integration patterns with security and compliance * Promote data product thinking, governance, and ownership; champion operational resilience and performance * Lead discovery and design sessions for data solutions across core business areas * Mentor architects and engineers to raise architectural maturity across the organization * Represent solution architecture in enterprise forums and align roadmaps with stakeholders Tasks * Deep experience designing and governing enterprise-scale solution architectures across multiple teams and domains * Ability to define and drive adoption of architecture standards, frameworks, and reusable patterns * Strong understanding of modern tech ecosystems including APIs, cloud, data flows, and AI * Proven ability to balance business priorities, technical trade-offs, and risk at scale * Experience influencing technical direction without direct reporting authority * Excellent communication skills for both technical and non-technical audiences * Experience in regulated or risk-sensitive environments with governance needs * Mentoring track record and experience in Agile/product-based delivery models * 15+ years of data integration/architecture/engineering/solution architecture or related fields * Bachelor's or Master's degree in related field * Proven experience delivering enterprise-scale data platforms or data products * Familiarity with data governance, metadata, and data quality practices * Strong skills in Python, PySpark, SQL * Experience with Databricks, Apache Spark, Delta Lake, Kafka * Cloud platform experience (AWS/Azure/GCP) * Experience leading data product initiatives including PoCs * Executive stakeholder management and product management collaboration Key requirements * leadership development * philanthropic opportunities * supportive and flexible benefits * career growth opportunities * inclusive culture * data-driven impact


## Related Videos

- [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture)
- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata)
- [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning)

## Related Articles

- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)