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Data Architect / Engineer

Full-time

Appnovation Technologies

About us

Appnovation is a global, full-service digital partner that combines Strategy, Experience & Design, Engineering and Managed Services. We build digital solutions that deliver real impact today and serve as foundations for future growth. Bold ambition. Practical action. Endless possibilities.

ENGLISH WILL FOLLOW 

La technologie est au cœur de toutes les offres d'Appnovation, du conseil à l'innovation numérique, en passant par la création de produits et services digitaux. Le département technologie se concentre sur la livraison de solutions logicielles qui permettent des expériences riches pour les utilisateurs, des applications mobiles et web à l'analytique avancée et l'apprentissage automatique, en passant par les plateformes de gestion de contenu et d'engagement.

Nos capacités technologiques reposent sur une expertise approfondie du cycle de vie du développement logiciel, une créativité constante, une passion pour le métier et une collaboration étroite avec les autres disciplines — des ingrédients essentiels à la réussite des expériences numériques et des partenariats clients.

En tant qu'architecte / ingénieur de données, vous rejoindrez une équipe dynamique et expérimentée et serez responsable à la fois des structures de données de notre plateforme graph-RAG et des pipelines qui y acheminent le contenu. Vous définirez le schéma, la taxonomie et le modèle de graphe pour nos domaines de connaissances, construirez des pipelines d'ingestion robustes depuis des sources de contenu d'entreprise comme SharePoint et l'écosystème Microsoft, et maintiendrez le graphe de connaissances à jour à mesure que les documents sources évoluent.

RESPONSABILITÉS PRINCIPALES


  • Définir le schéma, la taxonomie et la modélisation du graphe pour les domaines de connaissances.

  • Concevoir la structure des documents, versions et leurs représentations lisibles par machine, ainsi que l'évolution des faits dans le temps (incluant la relecture temporelle).

  • Construire des pipelines d'ingestion/ETL depuis des sources de contenu d'entreprise (ex. : SharePoint et l'écosystème Microsoft), en gérant du contenu multimodal (présentations, documents, transcriptions).

  • Maintenir le graphe de connaissances synchronisé lorsque les documents sources changent fréquemment.

  • Conseiller sur la pertinence de l'approche backend actuelle (Supabase/Postgres) à long terme et valider la qualité du contenu ingéré avec l'équipe QA.

  • Établir des standards de qualité des données, de traçabilité et de gouvernance à travers les pipelines.

  • Construire des systèmes de surveillance, d'alertes et de gestion des erreurs pour les tâches d'ingestion.

  • Documenter les modèles de données, schémas et architectures de pipelines.

  • Optimiser les coûts, le débit et la fiabilité des pipelines dans le temps.

QUALIFICATIONS


  • Baccalauréat en informatique ou dans un domaine connexe.

  • 5 ans et plus d'expérience en ingénierie ou architecture de données.

  • Expertise approfondie en modélisation de données relationnelles et de graphes, bases de données graphes (Neo4j) et Postgres/Supabase à grande échelle.

  • Solide expérience en ingénierie de pipelines ETL en Python, incluant l'ingestion à grande échelle, incrémentale et par capture de données modifiées.

  • Expérience avec les écosystèmes de contenu d'entreprise : SharePoint, idéalement Power Platform / Power Automate.

  • Connaissance en représentation des savoirs, taxonomies/ontologies et données versionnées/temporelles.

  • Compréhension de la façon dont les structures de données alimentent la qualité de récupération RAG et LLM.

  • Maîtrise de SQL, expérience avec les outils d'orchestration (ex. : Airflow) et les services de données cloud.

  • Familiarité avec les pratiques de gouvernance des données, sécurité et confidentialité.

  • Solides compétences en documentation et en communication transversale.

QUI VOUS ÊTES


  • Vous pensez à comment automatiser et opérer à grande échelle, pas seulement à résoudre le problème immédiat.

  • Vous comprenez la pensée lean.

  • Vous établissez des standards élevés en matière de qualité de code, de performance et de sécurité, et recherchez l'amélioration continue.

  • Vous avez de solides compétences analytiques, en résolution de problèmes et en prise de décision.

  • Vous adoptez une approche centrée sur le client avec un vrai sens du service.

  • Vous développez des relations positives avec les parties prenantes internes et externes, tout en gérant plusieurs initiatives aux priorités parfois concurrentes.

  • Vous faites preuve d'initiative, de passion et de fortes compétences en communication et en collaboration dans un environnement transversal.

  • Vous êtes réactif et vous épanouissez dans un environnement rapide, diversifié et en constante évolution.

  • Vous recherchez activement de nouveaux défis et apprenez rapidement de nouveaux concepts, modèles d'affaires et technologies.

  • Vous avez une expérience préalable en consultation.

  • Une expérience et des connections dans l'industrie des sciences de la vie sont un atout.

 

Technology is foundational to all of Appnovation’s offerings, from consulting to digital innovation, to digital product and service creation. The technology department is focused on delivering software solutions that enable rich consumer experiences, from mobile and web applications to advanced analytics and machine learning, to content and engagement management service enablement platforms.

Inherent throughout our tech capabilities is deep expertise in the Software Development Life Cycle, a drive for creativity, a passion for the craft, and collaboration with other disciplines - all foundational ingredients in successful digital experiences and client partnerships.

As a Data Architect / Engineer, you will join a highly motivated and experienced team and own both the data structures behind our graph-RAG platform and the pipelines that get content into it — modeling the knowledge and pumping it in at scale. You will define the schema, taxonomy and graph model for our knowledge domains, build resilient ingestion pipelines from enterprise content sources such as SharePoint and the wider Microsoft stack, and keep the knowledge graph accurate as source documents evolve. We are looking for people who can bring a strong, solution-focused mindset and contribute to architectural decisions, best practices and get things done.

KEY RESPONSIBILITIES



  • Define the schema, taxonomy, and graph modeling for the knowledge domains.

  • Design how documents, versions, and their machine-readable representations are structured, and how facts evolve over time (including temporal replay).

  • Build ingestion/ETL pipelines from enterprise content sources (e.g., SharePoint and the wider Microsoft stack), handling multimodal content (presentations, documents, transcripts).

  • Keep the knowledge graph in sync as source documents change frequently.

  • Advise on whether the current backend approach (Supabase/Postgres) is the right long-term architecture, and validate ingested content quality with QA.

  • Establish data quality, lineage, and governance standards across pipelines.

  • Build monitoring, alerting, and error-handling for ingestion jobs.

  • Document data models, schemas, and pipeline architecture.

  • Optimize pipeline cost, throughput, and reliability over time.

QUALIFICATIONS



  • Bachelor’s Degree in Computer Science or a related field.

  • 5+ years of experience in data engineering / architecture roles.

  • Deep data modeling across relational and graph paradigms; graph databases (Neo4j) and Postgres/Supabase at scale.

  • Strong ETL / data pipeline engineering in Python, including large-scale, incremental, and change-data ingestion.

  • Experience with enterprise content ecosystems: SharePoint, ideally Power Platform / Power Automate.

  • Knowledge representation, taxonomies/ontologies, and versioned/temporal data.

  • Understanding of how data structures feed RAG and LLM retrieval quality.

  • SQL proficiency; experience with orchestration tools (e.g., Airflow) and cloud data services.

  • Familiarity with data governance, security, and privacy practices.

  • Strong documentation and cross-team communication skills.

WHO YOU ARE



  • You think about how to scale, automate and operate, not just how to build a solution to an immediate problem

  • You understand lean thinking

  • You set high standards for code quality, performance/scalability and security and seek continuous improvement

  • You have solid analytical, problem solving and decision-making skills

  • You have customer first mindset and a devotion to customer service

  • You engage and build positive internal and external client relationships, while managing multiple initiatives, often with competing priorities

  • You have strong self-initiative, passion, interpersonal, oral and written communication and collaboration skills with the ability to work, influence and make an impact in a cross-functional environment with all levels of the organization

  • You are responsive and thrive in a fast-paced diverse high-performance environment with rapidly changing business needs

  • You actively seek out things outside your comfort zone with the ability to rapidly learn and take advantage of new concepts, business models, and technologies

  • You have prior experience in consulting

  • Prior experience and connections in the Life Sciences industry is preferred

Thank you for your interest in a career with Appnovation Technologies! Please note that only those selected for an interview will be contacted.

 

At Appnovation, we recognize that diverse teams are the strongest teams. Diversity, Equity & Inclusion is not only something that we embrace - we celebrate it! We are proud to be an Equal Opportunity Employer and we encourage applicants from all backgrounds, lived experiences and industries to apply. Come join us at Appnovation, and learn more about how we stay true to our company values as we build better lives through better digital. Accommodations are available upon request throughout the recruitment process.

Vacancy posted 7 hours ago
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