Publié il y a 2 mois
Data Platform Engineer
@ Xanadu
Toronto, Ontario
En bref
Xanadu is hiring a Data Platform Engineer, a new full-time role to build the company's first cloud data platform. The work covers ingestion, transformation and serving of heterogeneous R&D, manufacturing and business data, with data architecture, governance and mentoring responsibilities. The posting requires 7+ years in data engineering, including 2+ years in a lead or architect capacity, and does not state a salary range beyond saying it is set by location, experience and internal benchmarks.
Responsabilités :
- Design and maintain cloud data infrastructure for ingestion, transformation and serving
- Own data architecture, schema design and query performance
- Consolidate R&D, manufacturing and business analytics data pipelines
- Establish data governance: lineage, cataloging, access control, quality
- Mentor engineers and drive engineering standards
Résumé des exigences :
- 7+ years in data engineering, 2+ in lead or architect role
- Production experience with Delta Lake, Iceberg or Hudi
- Hands-on with dbt and Airflow, Dagster or Prefect
- Strong SQL and Python software engineering skills
- Experience with infrastructure-as-code and CI/CD for data
Outils et compétences
Source et dates
Type de source non vérifié · hibob
- Date publiée par l’employeur
- 2026-09-04
- Première détection par notre source
- 2026-10-27
- Mise à jour du dossier source
- 2026-10-27
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 | 7 an(s) et plus |
| Expérience en gestion | 2 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau, Laboratoire |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Avantages mentionnés | Actions ou participation |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Xanadu
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.
Description complète de l’entreprise
Xanadu Quantum Technologies Inc. is a Canadian quantum technology company, and one of the world's leading photonic quantum hardware providers. Founded in 2016, Xanadu's mission is to build quantum computers that are useful and available to people everywhere. To achieve this mission, the company has taken a full-stack approach and builds hardware, software, and pursues state-of-the-art research with select partners. The company is also advancing the field of quantum machine learning (QML) through the development of PennyLane, an open-source project that has become a leading software library among quantum researchers and developers. Xanadu is bringing together exceptional minds from around the world to build something extraordinary. Learn more at xanadu.ai
- Abonnés LinkedIn
- 56 801
- Personnes associées sur LinkedIn
- 342
- Bureaux déclarés
- Toronto, Ontario M5B 2H7, CA
- Autres noms enregistrés
- Xanadu
- Spécialités
- Quantum Computing
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Cloud Computing
- Quantum Simulations
- and Quantum Algorithms
- Le profil indique une agence de recrutement
- Non
Xanadu Quantum Technologies Inc. is a Canadian quantum technology company, and one of the world's leading photonic quantum hardware providers. Founded in 2016, Xanadu's mission is to build quantum computers that are useful and available to people everywhere. To achieve this mission, the company has taken a full-stack approach and builds hardware, software, and pursues state-of-the-art research with select partners…
| Champ | Valeur |
|---|---|
| Secteur | Computer Hardware Manufacturing |
| Taille | 51-200 employees |
| Siège social | Toronto, Ontario |
| Type d’organisation | Privately Held |
| Fondée en | 2016 |
| Spécialités | Quantum ComputingArtificial IntelligenceMachine LearningDeep LearningCloud ComputingQuantum Simulationsand Quantum Algorithms |
| Offres sur Jobsy | 76 |
| Voir la page |
Xanadu’s mission is to build quantum computers that are useful and available to people everywhere.
At Xanadu, we are learners, innovators, researchers, collaborators and problem solvers. We are creating something that has never been built before. What we are doing is extremely hard, the classic moon shot. Few people in their life will be able to be a part of something like this, where if we are successful, the technologies we develop will solve some of the world’s most challenging problems and literally change the world. And that is something to be excited about!
Your role and responsibilities:
As a Data Platform Engineer, you will take Xanadu’s existing data pipelines and transform them into a cohesive data platform. Working alongside hardware researchers, data scientists, and finance analysts, you'll define how data flows across the organization and build the infrastructure that enables data-driven decisions at every level. This is a hands-on technical role first — you will be the first dedicated data engineer, with the opportunity to build a data team around you.This is a high-complexity, moderate-volume problem. Terabytes, not petabytes. Different heterogeneous measurement types, not billions of uniform events.
Your responsibilities will be:
- Design, build and maintain a robust cloud data infrastructure (ingestion, transformation, serving) that will serve multiple engineering team across the organization
- Own the data architecture: layering, schema and contract design, materialization strategy, query performance.
- Understand and consolidate existing data workflows and pipelines spanning R&D, manufacturing, and business analytics
- Define data models in collaboration with researchers and analysts to ensure scientific and business data is stored correctly and queryable
- Establish data governance foundations: lineage, cataloging, access control, and quality monitoring
- Drive best practices across code quality, testing, data reliability, and observability
- Balance new development, platform improvements, and technical debt reduction
- Mentor and provide technical guidance to engineers across the organization as the practice grows
Basic qualifications and experience:
- 7+ years in data engineering, with 2+ years in a lead or architect capacity
- Deep experience building and scaling data platforms in the cloud from the ground up
- Strong software engineering: Python packaging, testing, CI
- Production experience designing and operating data lake or lakehouse architectures (Delta Lake, Iceberg, or Hudi)
- Hands-on experience with modern data stack tooling (dbt or similar) and orchestration (Airflow, Dagster, Prefect)
- Strong SQL skills
- Knowledge of infrastructure-as-code and CI/CD for data pipelines
- Proven ability to drive technical standards and engineering improvements across teams
- Experience working with cross-functional teams — especially R&D or science teams producing unstructured or semi-structured data
Preferred qualifications and experience:
- Experience in a deep-tech, hardware, or semiconductor environment where data originates from physical measurement systems
- Familiarity with time-series or scientific data formats (HDF5, Parquet for measurement traces, etc.)
- Prior experience as the "first data engineer" — building a practice from scratch, not inheriting one
- Familiarity with LIMS systems or laboratory data workflows
This is for a new position. Your base salary will be determined based on your location, experience, and internal benchmarks. You will also be eligible for equity and benefits.
Our values are important. They are fundamental and lay the foundation for culture at Xanadu. Learn more about our values here.
We are an equal opportunity employer and encourage candidates of all backgrounds to apply. We are committed to building an inclusive, safe, and equitable culture and fostering an environment where our employees feel included, valued, and heard. We are committed to meeting the needs of all individuals and support a barrier-free workplace. Should you require accommodations at any point during the recruitment process please contact Recruiting at [email protected].
Please be advised that we may use artificial intelligence (AI) tools to assist in the screening and assessment of applicants for this position. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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