Principal Data Architect

The role

You will define and drive the enterprise data architecture strategy to enable AI-ready data products. You will work across business, product, engineering, analytics, and AI teams to translate business needs into scalable data platforms.

What you will do

• Define and evolve enterprise data architecture, data models, and technology standards
• Design scalable, resilient, and cost-effective data architectures
• Establish canonical data models and shared business entities
• Architect modern cloud-based data platforms and lakehouse or warehouse solutions
• Establish patterns for data ingestion, transformation, orchestration, and quality
• Enable interoperable data products and APIs
• Design data architectures that integrate complex healthcare and insurance data
• Build an AI-ready data foundation for machine learning and automation
• Serve as a technical advisor to engineering, product, business, security, and executive stakeholders
• Mentor senior engineers and data architects

Required qualifications

• 12+ years of experience in data architecture, data engineering, data platforms, or related technical disciplines
• Demonstrated experience leading enterprise-scale architecture
• Proven track record designing and implementing modern cloud data platforms and complex data integration architectures
• Strong expertise in data modeling, dimensional and relational modeling, distributed data processing, data pipelines, and data platform design
• Experience with modern data technologies such as Snowflake, Databricks, cloud-native data services, Kafka or equivalent streaming technologies, dbt, and contemporary orchestration tools
• Strong understanding of data governance, metadata, lineage, data quality, access controls, privacy, and security
• Experience architecting data platforms that support enterprise analytics, operational applications, and AI/ML use cases
• Ability to communicate complex technical concepts clearly and influence senior technical and business stakeholders
• Demonstrated ability to move from architecture strategy to practical implementation and measurable outcomes

Nice to have

• Experience in healthcare, health insurance, employee benefits, healthcare technology, or payer/provider ecosystems
• Familiarity with healthcare data standards and interoperability frameworks such as FHIR, HL7, X12, and relevant claims and eligibility data formats
• Experience working with sensitive healthcare or insurance data in regulated environments, including HIPAA compliance requirements
• Knowledge of healthcare economics, medical and pharmacy claims, stop-loss insurance, self-funded employer health plans, or benefits administration
• Experience building governed data products and AI-ready platforms that enable advanced analytics and intelligent automation
• Experience modernizing legacy data ecosystems and integrating data across acquisitions, multiple platforms, or fragmented enterprise systems

Benefits

• Fully paid medical, dental, and vision benefits
• Flexible PTO
• 401k company contribution
• Tuition reimbursement
• Professional development allowance
• Transportation allowance and daily parking reimbursement

Before you apply

• ParetoHealth does not provide employment visa sponsorship for this position
• Candidates must be authorized to work in the United States without sponsorship both now or in the future

About the company

ParetoHealth is the largest and fastest-growing benefits captive in the United States. Headquartered in Philadelphia, it helps small and midsize employers take control of healthcare costs through a data-driven model.