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Synechron

Senior Data Architect

Montreal, QC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 29, 2026
Posting language: English · French
Posted: Oct 30, 2026

Original job description

English section of this bilingual listing.

We began life in 2001 as a small, self-funded team of technology specialists. Since then, we’ve grown our organization to 17,000 people, across 58 offices, in 22 countries, in key global markets.

Innovative tech solutions for business

We're now a leading global digital consulting firm, providing innovative technology solutions for business. As a trusted partner, we're always at the forefront of change as we lead digital optimization and modernization journeys for our clients.

Customized end-to-end solutions

Our expertise in AI, Consulting, Data, Digital, Cloud & DevOps and Software Engineering, delivers customized, end-to-end solutions that drive business value and growth.

Our Challenge

We are seeking a Senior Architect to lead the design and evolution of secure, scalable, reliable, and cost-effective modern data platforms. This role will establish enterprise data architecture standards across lakehouse, data warehouse, integration, governance, and analytics environments while providing technical leadership to delivery teams and stakeholders.

Responsibilities:

Design modern data platforms using lakehouse, data warehouse, and Bronze/Silver/Gold medallion architecture patterns.
Develop dimensional, enterprise, logical, and physical data models.
Define batch, CDC, streaming, near-real-time, API integration, and workflow orchestration patterns.
Establish standards for pipeline dependencies, monitoring, error handling, recovery, and operational support.
Design data access, authentication, authorization, IAM, encryption, masking, and least-privilege security patterns.
Define governance operating models, including ownership, stewardship, lineage, cataloging, data quality, classification, and compliance.
Develop data lifecycle, retention, backup, disaster recovery, and business continuity strategies.
Optimize query performance, storage, compute utilization, scalability, reliability, and platform costs.
Lead architecture reviews, technical decisions, roadmaps, and solution documentation.
Collaborate with engineering, security, infrastructure, analytics, business, and application teams.
Mentor technical teams and ensure solutions align with enterprise architecture standards.

Skills:

7+ years experience in data architecture, data engineering, enterprise architecture, or a related discipline.
Must have hands on experience with AWS, Azure or Google Cloud.
Proven experience designing modern lakehouse and data warehouse platforms.
Strong knowledge of dimensional and enterprise data modeling.
Experience with batch processing, CDC, streaming, APIs, and workflow orchestration.
Strong understanding of data security, IAM, governance, privacy, and compliance.
Experience with technologies such as BigQuery and AirFlow is an advantage.

We can offer

15 days (3 weeks) of paid annual leave plus an additional 10 days of personal leave (floating days and sick days)
A comprehensive insurance plan including: medical, dental, vision, life insurance, and long term disability
RRSP with employer’s contribution up to 4%
A higher education certification policy

SYNECHRON’S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Synclusive’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Read the full bilingual original

Nous avons commencé nos activités en 2001 avec une petite équipe autofinancée de spécialistes en technologies. Depuis, notre organisation s’est développée pour compter aujourd’hui 17 000 employés répartis dans 58 bureaux et 22 pays, au sein des principaux marchés mondiaux.

Des solutions technologiques novatrices pour les entreprises

Nous sommes maintenant un chef de file mondial en consultation numérique et offrons des solutions technologiques novatrices aux entreprises. En tant que partenaire de confiance, nous sommes toujours à l’avant-garde du changement et accompagnons nos clients dans leurs parcours d’optimisation et de modernisation numériques.

Des solutions personnalisées de bout en bout

Notre expertise en intelligence artificielle, en consultation, en données, en numérique, en infonuagique et DevOps, ainsi qu’en génie logiciel, nous permet d’offrir des solutions personnalisées de bout en bout qui créent de la valeur et favorisent la croissance des entreprises.

Notre défi

Nous sommes à la recherche d’un architecte principal pour diriger la conception et l’évolution de plateformes de données modernes, sécuritaires, évolutives, fiables et rentables. La personne titulaire du poste établira les normes d’architecture de données de l’entreprise pour les environnements lakehouse, d’entrepôt de données, d’intégration, de gouvernance et d’analytique, tout en offrant un leadership technique aux équipes de réalisation et aux parties prenantes.

Responsabilités

Concevoir des plateformes de données modernes selon les architectures lakehouse, d’entrepôt de données et en médaillon Bronze/Argent/Or.
Élaborer des modèles de données dimensionnels, d’entreprise, logiques et physiques.
Définir les modèles d’intégration par lots, CDC, en continu, en quasi temps réel, ainsi que les intégrations par API et l’orchestration des flux de travail.
Établir les normes relatives aux dépendances entre les pipelines, à la surveillance, à la gestion des erreurs, à la reprise et au soutien opérationnel.
Concevoir les modèles d’accès aux données, d’authentification, d’autorisation, de gestion des identités et des accès (IAM), de chiffrement, de masquage et de sécurité fondée sur le principe du moindre privilège.
Définir les modèles opérationnels de gouvernance, notamment en matière de propriété, de gestion des données, de traçabilité, de catalogage, de qualité, de classification et de conformité.
Élaborer des stratégies de cycle de vie des données, de conservation, de sauvegarde, de reprise après sinistre et de continuité des activités.
Optimiser la performance des requêtes, l’utilisation du stockage et des ressources informatiques, l’évolutivité, la fiabilité et les coûts des plateformes.
Encadrer les équipes techniques et veiller à ce que les solutions respectent les normes d’architecture de l’entreprise.

Compétences et qualifications

Plus de 7 ans d’expérience en architecture de données, en ingénierie des données, en architecture d’entreprise ou dans un domaine connexe.
Expérience pratique obligatoire avec AWS et Google Cloud.
Expérience éprouvée dans la conception de plateformes modernes de type lakehouse et d’entrepôts de données.
Solide connaissance de la modélisation dimensionnelle et de la modélisation de données d’entreprise.
Expérience des traitements par lots, du CDC, des flux de données continus, des API et de l’orchestration des flux de travail.
Excellente compréhension de la sécurité des données, de la gestion des identités et des accès (IAM), de la gouvernance, de la protection des renseignements personnels et de la conformité.
Expérience dans la conception de solutions de données évolutives, fiables, performantes et rentables.
Excellentes aptitudes en communication, en leadership technique, en gestion des parties prenantes et en documentation.
Expérience avec des technologies telles que BigQuery et Airflow, un atout.

Ce que nous offrons

15 jours (3 semaines) de vacances annuelles rémunérées, ainsi que 10 jours supplémentaires de congé personnel, incluant des journées mobiles et des congés de maladie.
Un régime d’assurances complet comprenant l’assurance médicale, dentaire et soins de la vue, l’assurance vie et l’assurance invalidité de longue durée.
Un REER avec une contribution de l’employeur pouvant atteindre 4 %.
Une politique de soutien à l’obtention de certifications et de qualifications de niveau supérieur.

Énoncé de Synechron sur la diversité et l’inclusion

La diversité et l’inclusion sont au cœur de notre culture. Synechron est fière d’être un employeur offrant l’égalité des chances et appliquant des mesures d’équité en matière d’emploi. Notre initiative de diversité, d’équité et d’inclusion (DEI), Synclusive, vise à favoriser une culture inclusive en faisant la promotion de l’égalité, de la diversité et d’un environnement respectueux pour tous.

Nous croyons fermement qu’une main-d’œuvre diversifiée contribue à bâtir des entreprises plus solides et performantes à l’échelle mondiale. Nous encourageons les personnes de tous horizons, quelles que soient leur race, leur origine ethnique, leur religion, leur âge, leur état matrimonial, leur genre, leur orientation sexuelle ou leur situation de handicap, à poser leur candidature.

Nous favorisons l’épanouissement de notre personnel mondial en offrant des modalités de travail flexibles, des programmes de mentorat, des possibilités de mobilité interne ainsi que des programmes d’apprentissage et de perfectionnement, entre autres.

Toutes les décisions d’emploi chez Synechron sont fondées sur les besoins de l’entreprise, les exigences du poste et les qualifications individuelles, sans égard au genre, à l’identité de genre, à l’orientation sexuelle, à la race, à l’origine ethnique, à la situation de handicap, au statut d’ancien combattant ou à toute autre caractéristique protégée par la loi.

We began life in 2001 as a small, self-funded team of technology specialists. Since then, we’ve grown our organization to 17,000 people, across 58 offices, in 22 countries, in key global markets.

Innovative tech solutions for business

Customized end-to-end solutions

Our expertise in AI, Consulting, Data, Digital, Cloud & DevOps and Software Engineering, delivers customized, end-to-end solutions that drive business value and growth.

Our Challenge

Responsibilities:

Design modern data platforms using lakehouse, data warehouse, and Bronze/Silver/Gold medallion architecture patterns.
Develop dimensional, enterprise, logical, and physical data models.
Define batch, CDC, streaming, near-real-time, API integration, and workflow orchestration patterns.
Establish standards for pipeline dependencies, monitoring, error handling, recovery, and operational support.
Design data access, authentication, authorization, IAM, encryption, masking, and least-privilege security patterns.
Define governance operating models, including ownership, stewardship, lineage, cataloging, data quality, classification, and compliance.
Develop data lifecycle, retention, backup, disaster recovery, and business continuity strategies.
Optimize query performance, storage, compute utilization, scalability, reliability, and platform costs.
Lead architecture reviews, technical decisions, roadmaps, and solution documentation.
Collaborate with engineering, security, infrastructure, analytics, business, and application teams.
Mentor technical teams and ensure solutions align with enterprise architecture standards.

Skills:

7+ years experience in data architecture, data engineering, enterprise architecture, or a related discipline.
Must have hands on experience with AWS, Azure or Google Cloud.
Proven experience designing modern lakehouse and data warehouse platforms.
Strong knowledge of dimensional and enterprise data modeling.
Experience with batch processing, CDC, streaming, APIs, and workflow orchestration.
Strong understanding of data security, IAM, governance, privacy, and compliance.
Experience with technologies such as BigQuery and AirFlow is an advantage.

We can offer

15 days (3 weeks) of paid annual leave plus an additional 10 days of personal leave (floating days and sick days)
A comprehensive insurance plan including: medical, dental, vision, life insurance, and long term disability
RRSP with employer’s contribution up to 4%
A higher education certification policy

SYNECHRON’S DIVERSITY & INCLUSION STATEMENT

Apply About employer

More about this job

Responsibilities

Design and evolve secure, scalable, reliable, and cost-effective data platforms, setting enterprise standards for lakehouse, data warehouse, integration, governance, and analytics environments. Lead architecture decisions and reviews, guide delivery teams, collaborate with stakeholders, and establish practices for security, operations, data lifecycle management, and platform optimization.

Requirements

Requires more than seven years of experience in data architecture, data engineering, enterprise architecture, or a related field, with hands-on experience in AWS and Google Cloud. Candidates should have expertise in lakehouse and data warehouse design, data modeling, batch and streaming integration, security, governance, privacy, and compliance; BigQuery and Airflow experience is an advantage.

Skills

Data Architecture
Data Engineering
AWS
Google Cloud
Azure
Lakehouse Architecture
Data Warehousing
Dimensional Data Modeling
Data Integration
Change Data Capture
Streaming Data
Workflow Orchestration
Data Security
Identity and Access Management
Data Governance
BigQuery

Benefits

Paid Annual Leave
Personal Leave
Medical Insurance
Dental Insurance
Vision Insurance
Life Insurance
Long-Term Disability Insurance
Employer RRSP Contribution
Certification and Higher Education Support

Visa sponsorship

Not detected in the job text

Keywords

Data Architecture
Data Engineering
Enterprise Architecture
AWS
Google Cloud
Azure
Lakehouse
Data Warehouse
Bronze/Silver/Gold Medallion Architecture
Dimensional Data Modeling
Enterprise Data Modeling
Batch Processing
Change Data Capture
Streaming
Near-Real-Time Processing
API Integration
Workflow Orchestration
Pipeline Monitoring
Authentication
Authorization
Identity and Access Management
Encryption
Data Masking
Least-Privilege Security
Data Governance
Data Lineage
Data Cataloging
Data Quality
Disaster Recovery
BigQuery

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