CTC007648 - Data Architect
Secteur industriel: Bancaire/Banking
Type d'emploi: Contract
Durée: One year
Mode de travail: Mixed
Description
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Work pattern: Hybrid, 2 days a week in downtown montreal office
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Bilingualism is mandatory (French and English)
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Flexible hourly rate
Your mandate :
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Manage data-related aspects of solutions: data flow, identification of reliable sources, analysis/profiling, integration models, design/modeling and optimization of data management and exposure.
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Define the most appropriate data integration and exposure methods for the investment domain, taking into account specific needs and with a view to solution sustainability.
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Participate in the data governance process.
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Ensure the alignment of solutions with both functional and non-functional requirements (data volume, data frequency and long-term growth).
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Ensure alignment of data solutions with corporate data integration models.
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Document data solutions and maintain data artifacts in PowerDesigner and Confluence (data flows, data models, message models, value domains, etc.). Contribute to data innovation.
Prerequisites:
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Experience in positions such as data architect or other leadership role focused on data management, with an emphasis on systems integration.
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Solid experience in data modeling, covering conceptual, logical and physical aspects, in both transactional and informational contexts.
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Understanding of reference data, master data and authoritative data source concepts.
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Mastery of data integration solutions, including microservices and streaming.
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Experience in a governed data context and use of an enterprise data catalog.
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Understanding of data management strategies, including business intelligence, analytics, data warehousing, data virtualization, etc.
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Excellent skills in analyzing data flows and understanding impacts between systems.
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Experience with PowerDesigner
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Basic knowledge of data security and access management.
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Knowledge of the investment industry is an asset.
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Bachelor's degree in an industry-related field, with 10 years' relevant experience.
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Relevant certifications (e.g. Data Management Professional) are an asset.
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Experience with agile methodologies
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Strong synthesis, analysis and popularization skills