Principal Data Solutions Architect

Burtch Works; New York (NY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Burtch Works is seeking a Principal Data Solution Architect to lead enterprise data architecture and governance across platforms, domains, and delivery teams. The role emphasizes data products, AI-enabled capabilities, and scalable data platforms to support underwriting, enrollment, billing, claims, and analytics.

The position is hybrid with on-site requirement at multiple US office locations, and requires deep expertise in modern data architectures and cloud technologies.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.
• 15+ years of experience in data integration, data architecture, data modeling, data engineering, solution architecture, or enterprise technology.
• Proven experience delivering enterprise-scale data platforms, data products, or analytics capabilities.
• Strong understanding of data mesh, data products, metadata, governance, and domain-driven design.
• Experience with modern data platforms and cloud environments (Databricks, Spark, Delta Lake, Kafka; AWS/Azure/GCP).
• Strong Python, PySpark, and SQL skills; experience with AI-enabled data solutions; governance and regulatory awareness.

Responsibilities

• Own and shape enterprise solution architecture strategy, standards, and patterns.
• Define reference architectures and reusable design patterns for delivery.
• Establish guardrails for scalable, secure, and consistent design.
• Lead architecture decisions for cross-value-stream initiatives.
• Mentor architects and engineers to raise architectural maturity.
• Partner with security, risk, and compliance to embed governance.
• Drive adoption of data product operating model with customer value focus.
• Collaborate with data engineering, product, and AI teams to operationalize solutions.

Skills

Data integration

Data architecture

Data modeling

Data engineering

Solution architecture

Cloud platforms

Python

PySpark

SQL

APIs

Microservices

Distributed systems

Databricks

Apache Spark

Delta Lake

Kafka

Governance & compliance

AI-enabled data solutions

Stakeholder management

Agile / product delivery

Insurance domain knowledge

Education

Bachelor's or Master's degree in CS/Engineering/IS

Tools

Databricks

Apache Spark

Delta Lake

Kafka

Job description

Job Title: Principal Data Solution Architect (FPRS & CSWM)

Location: Holmdel, NJ | New York, NY | Bethlehem, PA (Hybrid – 3 Days In Office)

About The Role

This is a hybrid role requiring 3 days per week on site at one of three office locations: Holmdel, NJ; New York, NY; or Bethlehem, PA.

Job Summary

The Principal Solution Architect, Data is responsible for defining, scaling, and governing enterprise-wide solution architecture across platforms, domains, and delivery teams. 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 across the Insurance business, this architect bridges business, engineering, architecture, and data teams to rapidly design, build, and deploy scalable solutions that improve underwriting, enrollment, billing, claims, customer service, reporting, analytics, and digital experiences. The architect will champion a data product mindset, treating data as a strategic enterprise asset with clear ownership, quality standards, reusable capabilities, governance, and measurable customer value.

Key Responsibilities

• Own and shape enterprise solution architecture strategy, standards, and patterns across multiple platforms and domains.
• Define and maintain reference architectures and reusable design patterns for solution delivery.
• Establish architectural guardrails that enable scalable, secure, and consistent solution design across teams.
• Lead enterprise-level design decisions for complex, high-impact initiatives that span multiple value streams or business units.
• Provide architectural oversight and guidance across portfolios, ensuring alignment to enterprise standards and long-term strategy.
• Drive early engagement on initiatives to identify cross-platform dependencies, systemic risks, and scalability constraints.
• 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 and solution designs.
• Partner with Security, Risk, and Compliance teams to embed governance, security, and regulatory requirements into solution architecture.
• Mentor and coach architects and senior engineers to elevate architectural maturity across the organization.
• Represent solution architecture in enterprise forums, architecture review boards, and strategic technology discussions.
• Drive the adoption of a data product operating model, championing customer-centric design, product ownership, continuous improvement, and measurable business value.
• Establish best practices for discoverability, usability, interoperability, governance, and consumption of enterprise data products.
• Lead discovery workshops and data solution design sessions across underwriting, enrollment, billing, claims, customer service, reporting, and digital channels.
• Design modern data platforms and pipelines that support real-time and batch processing, scalable data integration, and enterprise analytics needs.
• Ensure high-quality, trusted data through governance, observability, lineage, metadata, and automated data quality controls.
• Collaborate with data engineering, product, and AI teams to operationalize AI-enabled data solutions within the data ecosystem.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.
• 15+ years of experience in data integration, data architecture, data modeling, data engineering, solution architecture, or enterprise technology.
• 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.
• 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.
• Experience rolling out AI capabilities or AI-enabled solutions within a data ecosystem.
• Proven ability to define and drive adoption of architecture standards, frameworks, and reusable patterns.
• Strong experience influencing technical direction across distributed teams without direct reporting authority.
• Experience working in regulated or risk-sensitive environments with strong awareness of governance and compliance needs.
• Exceptional communication, executive presence, and stakeholder management skills.
• Experience collaborating within Agile and product-based delivery models.
• Experience within the insurance industry, including enrollment, eligibility, policy administration, billing, claims, customer data, and employer administration.
• Experience leading data product initiatives, including proof-of-concept development and feasibility assessment.
• Familiarity with product management methodologies and Agile frameworks.