Data Architect

Rules Cube is a Toronto-based digital transformation and Pega consulting firm with offices in Canada US Mexico and Latin America.

MediCore is Rules Cubes AI-powered patient access and clinic operations platform. It helps health systems clinics and diagnostic networks streamline scheduling intake referrals and front-office operations so patients get care faster and staff spend less time on manual work. MediCore is growing across North and Latin America and were building out the team behind it.

As Data Architect for MediCore youll own the platforms data strategy and architecture covering how clinical and operational data is ingested modeled secured governed and made available for analytics and AI. Youll work closely with engineering product AI/ML and implementation teams to design a data foundation that scales across customers and countries while meeting strict healthcare privacy requirements.

• Define and own MediCores end-to-end data architecture including operational databases data warehouse streaming pipelines and data services.
• Design scalable data models for patient access scheduling referrals and clinic operations data balancing transactional performance with analytics needs.
• Architect ingestion and integration pipelines for EHR/EMR and practice management data using HL7 v2 FHIR and third-party APIs.
• Build and govern the analytics platform on Google Cloud using BigQuery Dataflow Pub/Sub Cloud Composer and Cloud Storage.
• Design data foundations for AI/ML and LLM features including feature pipelines embeddings and vector storage and training and evaluation datasets.
• Establish data governance including data quality lineage cataloging master data management and retention policies.
• Design multi-tenant data isolation and residency strategies for customers in Canada US Mexico and Latin America.
• Ensure data handling meets healthcare privacy and security standards (HIPAA PHIPA SOC 2) including encryption de-identification access controls and audit logging.
• Define reporting and analytics capabilities for customers such as operational dashboards KPIs and data exports.
• Set data engineering standards review designs and mentor engineers on data modeling and pipeline best practices.
• Work with implementation teams to plan data migrations and integrations for new health system and clinic customers.

• 10 years of experience in data engineering data architecture or related roles including at least 3 to 4 years in an architect or technical lead role.
• Deep expertise in data modeling (relational dimensional and event-driven) and designing both OLTP and analytical systems.
• Strong hands-on experience with Google Cloud data services including BigQuery Dataflow Pub/Sub Cloud SQL Cloud Storage and Cloud Composer (Airflow).
• Expert SQL and strong Python skills for data pipelines and tooling.
• Experience designing batch and real-time streaming pipelines at scale.
• Solid experience with PostgreSQL including performance tuning partitioning and replication.
• Experience implementing data governance data quality frameworks and metadata management.
• Strong understanding of data security privacy and access control in regulated environments.
• Excellent communication skills and the ability to explain architectural decisions to technical and non-technical stakeholders.
• Spanish proficiency.

• Healthcare data experience especially with HL7 FHIR EHR data or the Google Cloud Healthcare API.
• Familiarity with HIPAA PHIPA or other healthcare compliance frameworks including de-identification techniques.
• Experience building data platforms for AI/ML including Vertex AI feature stores vector databases or RAG pipelines.
• Experience with dbt Dataplex Looker or similar modeling governance and BI tools.
• Experience designing multi-tenant SaaS data architectures.
• Google Cloud Professional Data Engineer or Professional Cloud Architect certification.
• Spanish proficiency to support MediCores growing customer base in Mexico and Latin America.

• Shape the data foundation of a healthcare AI platform used across multiple countries.
• Work at the intersection of healthcare data analytics and AI with real ownership and influence.
• The pace of a product team with the stability of an established firm.
• Collaborative international team spanning Canada the US and Latin America.
• Competitive compensation benefits and professional development support including certifications.