CTC007675 - Data Architect
Secteur industriel: Bancaire/Banking
Type d'emploi: Contract
Durée: One year
Mode de travail: On Site
Description
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Telecommuting: Hybrid 40% face-to-face (2 days per week), downtown montreal office
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Bilingualism: French mandatory English desirable
Your role
Solution Architecture - Data :
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Develop and maintain a complete data architecture
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Analyze and profile, design, model and optimize data for business projects based on DDD.
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Create data models, data flows, message models (JSON), identify authoritative data sources, value domains and ensure data integrity
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Produce secure data solutions that comply with industry and legal standards
Data Strategy :
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Collaborate closely with the data governance office and the data owner in defining data strategies
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Identify opportunities for data-driven innovation and improvement (such as the use of industry and AI models for optimal data exploitation)
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Recommend data technologies (SQL vs NoSQL, Data Mesh, ...)
Data Integration :
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Design data integration solutions to connect data sources and identify data flows and transformations required.
Data Governance :
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Contribute to the evolution of data governance policies, standards and best data practices
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Ensure data quality, traceability and metadata management
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Monitor data access, security and compliance
Leadership and Customer Engagement:
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Act as a trusted advisor to data owners and data engineers in identifying data-related solutions
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Lead and mentor a team of data developers and analysts throughout the project lifecycle to ensure data quality, integrity and protection.
Prerequisites
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Bachelor's degree in Information Technology, and ten years of relevant experience or Master's degree in Information Technology, and eight years of relevant experience
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Proven experience as a data architect, with a focus on large-scale, complex data solutions
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Mastery of data modeling, database design (structured and unstructured), data lakes and data warehouses
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Experience in data integration techniques and data transformation and reporting tools (such as Athena, RedShift, Quicksight, etc.)
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Mastery of AWS cloud data services (RDS, DynamoDB, DocumentDB, Neptune, ...)
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In-depth knowledge of OpenApi and AsyncApi standards, modeling tools such as (Power Designer, ...) and data catalogs (such as collibra, ...)
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Excellent communication and influencing skills
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Strong synthesis, analysis and popularization skills
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Experience with agile methodologies
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Relevant certifications (e.g. Data Management Professional, AWS Data Analytics) an asset