Principal Data Architect

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Paretocaptiveservicesllc The Principal Data Architect at ParetoHealth defines and drives the enterprise data architecture strategy to enable trusted, connected, secure, and AI-ready data products. The role involves working across teams to translate business needs into scalable data platforms and architectures.

Responsibilities

This is a hands-on architecture leadership role for someone who can think strategically, influence across the organization, and drive implementation from vision to execution.
Key Responsbilities:
Enterprise Data Architecture & Strategy
Define and evolve the enterprise data architecture, data models, integration patterns, and technology standards to support ParetoHealth’s business and technology strategy.
Design scalable, resilient, and cost-effective data architectures across operational systems, analytical platforms, and data products.
Establish canonical data models and shared business entities across domains, enabling consistent definitions and reliable data exchange.
Drive architectural decisions that balance immediate business needs with long-term scalability, flexibility, and maintainability.
Modern Data Platforms & Engineering
Architect modern cloud-based data platforms and lakehouse or warehouse solutions that support batch, streaming, and near-real-time data processing.

Qualification

Strong expertise in data modelingStrong understanding of data governanceExperience in healthcareKnowledge of healthcare economics

Required

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.