Publié le mois dernier
Data Architect
@ Rules Cube
Toronto, Ontario
En bref
Rules Cube is hiring a full-time Data Architect for its MediCore patient access platform, to own the data strategy and architecture across ingestion, modeling, governance and analytics. The role requires 10+ years of data engineering experience, 3 to 4 years as an architect or technical lead, and healthcare privacy knowledge (HIPAA, PHIPA, SOC 2). Spanish proficiency is required.
Responsabilités :
- Define and own end-to-end data architecture for MediCore
- Design scalable data models for patient access and scheduling
- Architect HL7 v2, FHIR and API ingestion pipelines
- Build and govern the analytics platform on Google Cloud
- Establish data governance, quality and privacy controls
Résumé des exigences :
- 10+ years in data engineering or data architecture
- 3 to 4 years as architect or technical lead
- Expert SQL and strong Python
- Hands-on Google Cloud data services experience
- Spanish proficiency
Outils et compétences
Source et dates
Site carrière / système de candidatures · jazzhr
- Date publiée par l’employeur
- 2026-09-27
- Première détection par notre source
- 2026-10-09
- Mise à jour du dossier source
- 2026-10-16
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Chef d’équipe |
| Domaine | Données et analytique |
| Expérience | 10 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English, Spanish |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Rules Cube
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Your Global Digital Transformation Partner
Description complète de l’entreprise
Rules Cube is a consulting firm specializing in digital transformation and strategic management. Our vision is to use our Pega expertise to help our clients with digital transformation initiatives and lead efforts to bridge the gap between business and technology. Headquartered in Toronto, with now an office in Peru - we have multiple Pega certified architects at all levels (LSA; SSA; SA) with expertise in process optimization and business architecture. Rules Cube es una consultora especializada en transformación digital y gestión estratégica. Nuestra visión es utilizar nuestra experiencia en Pega para ayudar a nuestros clientes con iniciativas de transformación digital y liderar los esfuerzos para cerrar la brecha entre negocios y tecnología. Con sede en Toronto y ahora con una oficina en Perú, contamos con múltiples arquitectos Pega certificados en todos los niveles (LSA; SSA; SA) con experiencia en optimización de procesos y arquitectura empresarial.
- Abonnés LinkedIn
- 17 197
- Personnes associées sur LinkedIn
- 41
- Bureaux déclarés
- 100 King St W, 5600, Toronto, Ontario M5X 1C9, CA
- Catégories d’activité
- IT Infrastructure
- Information Services
- Information Technology
- Autres noms enregistrés
- Rules Cube
- Spécialités
- Pega PRPC
- Scrum
- Agile Methodology
- Requirements Analysis
- and Project Management
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 0
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Rules Cube is a consulting firm specializing in digital transformation and strategic management. Our vision is to use our Pega expertise to help our clients with digital transformation initiatives and lead efforts to bridge the gap between business and technology. Headquartered in Toronto, with now an office in Peru - we have multiple Pega certified architects at all levels (LSA; SSA; SA) with expertise in process…
| Champ | Valeur |
|---|---|
| Secteur | IT Services and IT Consulting |
| Taille | 51-200 employees |
| Siège social | Toronto, Ontario |
| Type d’organisation | Privately Held |
| Fondée en | 2013 |
| Spécialités | Pega PRPCScrumAgile MethodologyRequirements Analysisand Project Management |
| Offres sur Jobsy | 3 |
| Voir la page |
About Rules Cube and MediCore
Rules Cube is a Toronto-based digital transformation and Pega consulting firm with offices in Canada, US, Mexico, and Latin America.
MediCore is Rules Cube's 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 we're building out the team behind it.
The Role
As Data Architect for MediCore, you'll own the platform's data strategy and architecture, covering how clinical and operational data is ingested, modeled, secured, governed, and made available for analytics and AI. You'll 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.
What You'll Do
- Define and own MediCore's 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.
What You Bring
- 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.
Nice to Have
- 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 MediCore's growing customer base in Mexico and Latin America.
Why Join Us
- 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.
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