Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Средняя
170к-180к CAD/год
150к CAD170к CADмедиана250к CAD
По похожим ролям (49) ~ 170к CAD/год
На СНГ рынке: $4.2к/мес ($3.1к - $6к)
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Обязанности хорошо очерчены и включают практическую работу с современной экосистемой Microsoft, но в консалтинге проекты клиентов могут часто сменять друг друга.
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Клиентские проектыСовременный стекЧёткая зона ответственностиУдалённый формат
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Solutions Architect (Microsoft Fabric): Architecting and delivering end-to-end cloud data platforms with an accent on Microsoft Fabric, Azure data services, governance, lineage, and data quality. Focus on leading data engineering teams, designing complex batch and real-time pipelines, and translating customer requirements into scalable technical roadmaps.
Location: Toronto, Ontario, Canada (remote-first; flexible work hours and location)
Salary: CAD 170K–180K per year
Company
hirify.global is a global engineering and consulting group providing technical guidance, cloud data solutions, and digital transformation services through virtual customer teams.
What you will do
Provide technical leadership across cloud data technologies, including tool selection, engineering issue resolution, and best-practice guidance.
Architect and implement end-to-end data platforms on Microsoft Fabric, including Lakehouse, Data Warehouse, Real-Time Intelligence, Data Factory, and OneLake components.
Lead technical discovery and whiteboard sessions, translate requirements into deliverables and technical roadmaps, and produce solution designs, data flow diagrams, and runbooks.
Build and optimize batch and real-time data pipelines using Azure Data Factory and Fabric Data Engineering workloads.
Define data governance, lineage, data quality, monitoring, remediation, access control, and auditability across data platforms.
Lead and mentor data engineering teams, manage engagement scope, identify technical risks, and maintain trusted customer relationships.
Requirements
7+ years of experience in data or solutions architecture roles with hands-on delivery, preferably with Azure.
Deep practical expertise in Microsoft Fabric, including Lakehouse, Warehouse, Pipelines, Notebooks, and OneLake.
Strong proficiency with the Azure data stack: Azure Data Factory, Synapse Analytics, Azure Databricks, ADLS Gen2, and Azure SQL.
Proficiency in Python and/or Spark/PySpark for data transformation and SQL for analytical workloads.
Hands-on Microsoft Purview experience covering data cataloguing, lineage, classification, and governance policy enforcement.
Experience implementing data quality frameworks, including expectations, anomaly detection, and lineage-aware testing.
Experience building complex data engineering pipelines, ETL/ELT tasks, batch processing systems, real-time processing systems, data warehouses, data lakes, and unified analytics platforms.
Experience with relational databases or managed cloud RDBMS services and with NoSQL databases.
Experience with at least 3 of the following: real-time streaming, analytics and BI solutions, AI/ML solutions and model operations, caching systems, or object stores.
Ability to design solutions involving data lineage, quality gates, anonymization, governance, security, replication, caching, lifecycle management, catalogs, and networking; understanding of HIPAA, PCI, GDPR, PIPEDA, or similar compliance frameworks.
Strong written and verbal communication, presentation, technical documentation, and mentoring skills.
Experience in customer-facing delivery within a consulting or professional services environment.
Nice to have
Experience with Microsoft Purview and Foundry.
Culture & Benefits
Remote-first work environment with flexible work hours and location.
Competitive compensation package with RRSP retirement savings matching.
Employer-paid health and dental premiums, mental health counselling, and a CAD 500 annual Health Care Spending Account.
Paid parental leave options and training reimbursement for learning platforms and courses.
Perkopolis discounts and peer recognition rewards.
Inclusive environment focused on belonging, safety, respect, and equitable employee support.
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