Principal Data Architect

Role overview Set the enterprise data architecture direction and guide its implementation across operational systems, analytics, data products, and AI-enabled workloads. This hands-on leadership role calls for translating business needs into secure, scalable platforms and consistent data models, while influencing teams across the organization.

Responsibilities - Define architecture strategy, shared data models, integration patterns, and technology standards that support current needs and long-term growth. - Design cloud data platforms for batch, streaming, and near-real-time processing, with attention to resilience, performance, and cost. - Establish patterns for ingestion, transformation, orchestration, data quality, metadata, lineage, and observability. - Enable trusted data products and APIs for business applications, analytics, and AI systems. - Guide engineering practices for modeling, reliability, security, access controls, and platform operations. - Integrate fragmented healthcare, benefits, insurance, employer, claims, eligibility, provider, and financial data while meeting privacy and regulatory needs.

Requirements - 12+ years in data architecture, data engineering, data platforms, or a related technical field, including enterprise-scale architecture leadership. - Demonstrated experience designing and implementing modern cloud data platforms and complex integrations. - Strong expertise in data modeling, distributed processing, pipelines, and platform design. - Familiarity with modern data technologies such as Snowflake, Databricks, cloud data services, Kafka or similar streaming tools, dbt, and orchestration platforms. - Knowledge of governance, metadata, lineage, quality, privacy, security, and access controls. - Ability to explain technical decisions clearly, influence business and technical leaders, and carry strategy through to measurable implementation.

Nice to have - Experience in healthcare, insurance, employee benefits, or payer/provider environments, including sensitive data and HIPAA requirements. - Familiarity with FHIR, HL7, X12, claims and eligibility formats, or healthcare financial processes. - Experience creating governed data products for analytics and AI, modernizing legacy systems, or integrating platforms across acquisitions.

Benefits and work setup The position has a hybrid work environment. Benefits include fully paid medical, dental, and vision coverage, flexible PTO, a company retirement contribution, tuition reimbursement, professional development funding, and transportation and parking support. Employment visa sponsorship is not available.