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Pareto Capital

Principal Data Architect

Pareto Capital

. Define and evolve enterprise data architecture, data models, integration patterns, and technology standards.

Posted 10/23/2026full-timePhiladelphia • Pennsylvania • United StatesLeadWebsite

Tech Stack

Tools & technologies
CloudKafka

About the role

Key responsibilities & impact
  • Define and evolve enterprise data architecture, data models, integration patterns, and technology standards.
  • Design scalable, resilient, and cost-effective architectures across operational systems, analytical platforms, and data products.
  • Establish canonical data models and shared business entities across domains.
  • Drive architectural decisions balancing immediate needs with long-term scalability, flexibility, and maintainability.
  • Architect cloud-based data platforms and lakehouse or warehouse solutions supporting batch, streaming, and near-real-time processing.
  • Establish patterns for ingestion, transformation, orchestration, data quality, metadata, lineage, and observability.
  • Enable interoperable data products and APIs for applications, analytics, and AI systems.
  • Partner with engineering teams on data modeling, reliability, performance, security, and cost optimization.
  • Integrate fragmented healthcare, insurance, benefits, employer, claims, eligibility, provider-network, and financial data.
  • Enable secure, governed access to sensitive healthcare and personally identifiable information under HIPAA and applicable privacy requirements.
  • Build AI-ready data foundations for machine learning, generative AI, agentic workflows, and intelligent automation.
  • Partner with data science, analytics, product, and engineering teams on predictive insights and data-driven product innovation.
  • Serve as a technical advisor to engineering, product, business, security, and executive stakeholders.
  • Define standards, reference architectures, design principles, and technical roadmaps.
  • Drive cross-team alignment, mentor senior engineers and data architects, and foster technical excellence.

Requirements

What you’ll need
  • 12+ years of experience in data architecture, data engineering, data platforms, or related technical disciplines, with 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.
  • Candidates must be authorized to work in the United States without sponsorship both now or in the future.
  • Preferred: Experience in healthcare, health insurance, employee benefits, healthcare technology, or payer/provider ecosystems.
  • Preferred: Familiarity with FHIR, HL7, X12, and relevant claims and eligibility data formats.
  • Preferred: Experience working with sensitive healthcare or insurance data in regulated environments, including HIPAA compliance requirements.
  • Preferred: Knowledge of healthcare economics, medical and pharmacy claims, stop-loss insurance, self-funded employer health plans, or benefits administration.
  • Preferred: Experience building governed data products and AI-ready platforms that enable advanced analytics and intelligent automation.
  • Preferred: Experience modernizing legacy data ecosystems and integrating data across acquisitions, multiple platforms, or fragmented enterprise systems.

Benefits

Comp & perks
  • Fully paid medical, dental, and vision benefits.
  • Flexible PTO
  • 401k company contribution
  • Tuition reimbursement
  • Professional development allowance
  • Transportation allowance and daily parking reimbursement
  • Engaging hybrid work environment