Job Family :
Travel Required :
Clearance Required :
Guidehouse ’s Health IT Solutions team works with clients to measurably improve their technology outcomes through a mix of IT strategies, improvement in IT operations, and adoption of technology initiatives. By leveraging a deep understanding of health system IT operational best practices supported by data, Guidehouse propels IT operational improvement and technology adoption across departments and service lines at client organizations.
What You Will Do :
We are seeking a Data Architect to lead the design and delivery of modern healthcare data platforms that enable trusted analytics and advanced analytics use cases. This role is suited for a candidate with a data science background and proven data architecture and technical delivery leadership who is able to guide client and internal teams from problem framing through scalable implementation.
Key Responsibilities
Data Architecture & Solution Design
- Translate business and analytics requirements into implementable architecture designs in partnership with engineers, analysts, and data scientists.
- Design and deliver modern healthcare data architectures (e.g., data lake, lakehouse, cloud data warehouse) to support analytics, reporting, and AI/ML use cases.
- Develop data models supporting clinical, claims, operational, and financial analytics.
- Work in Azure and AWS environments to develop pipelines, data flows, data lakes and data lakehouses.
Data Integration, Analytics & Advanced Analytics Enablement
- Lead design and implementation of data ingestion and transformation pipelines, including batch and near‑real‑time integrations from EHRs, claims systems, and third‑party sources.
- Partner with analytics engineers and data scientists to ensure platforms support advanced analytics and machine learning workflows.
- Drive adoption of scalable, repeatable delivery patterns (e.g., curated datasets, shared metrics layers, standardized pipelines).
Data Governance, Quality & Trust
- Lead implementation of data governance capabilities, including metadata, lineage, classification, and access controls.
- Define and oversee data quality and certification approaches to ensure datasets are trusted and reusable.
- Ensure solutions align with healthcare privacy and compliance requirements, including HIPAA‑aligned handling and auditability.
Client Engagement & Collaboration
- Lead client workshops to gather requirements, review designs, and communicate technical concepts clearly.
- Develop client‑facing deliverables, including architecture diagrams, technical documentation, and implementation roadmaps.
- Collaborate across clinical, operational, and technical s