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Senior Data Architect to Provide Strategic Guidance on Data and Analytics

2 months ago

Montreal, Quebec, Canada S.i. Systems Full time
About the Role

S.i. Systems is seeking a highly experienced Senior Data Architect to provide strategic guidance on data and analytics initiatives. As a key member of our team, you will be responsible for designing and implementing data architectures that drive business value and inform decision-making.

Key Responsibilities
  1. Evaluate alternative technology solutions to address business challenges and identify opportunities for improvement.
  2. Analyze functional requirements to map out information flows, procedures, and decision-making processes.
  3. Attend stakeholder meetings and prepare relevant documentation to ensure effective communication and collaboration.
  4. Securely maintain all documentation and ensure compliance with data governance policies.
  5. Contribute to discussion documents, proposals, reports, and briefing materials; make presentations; and develop strategic recommendations for senior management.
  6. Document interfaces of manual to automated operations within application sub-systems, to external systems, and between new and existing systems.
  7. Define input/output sources, plan for technical design phase, and obtain system proposal approval.
  8. Design, implement, improve, and document the next-gen data and analytic architecture at S.i. Systems, including the Enterprise Data Warehouse and other data and analytics components.
  9. Develop technical architectures, frameworks, and strategies to meet business and application needs.
  10. Ensure integration of all technology solutions.
  11. Identify and document system-specific standards for data and analytics development, documentation, testing, and application sub-systems.
  12. Identify solution-driving policies and requirements.
  13. Collaborate with Business and IM/IT teams to implement the data and analytics architecture and its components.
  14. Monitor industry trends to align solutions with government and industry technology directions.
  15. Implement Business Intelligence development standards and best practices.
  16. Advise on optimizing Information Architecture, Metadata, Reference, and Master Data Modelling.
  17. Advise on standardization techniques for enterprise reporting initiatives.
  18. Advise on data quality solution outputs.
  19. Provide expertise in identifying project risks, issues, challenges, and lessons learned from previous data and analytics, data management, information governance, and master data management projects.
  20. Provide strategic guidance on data and analytics, data management, master data, enterprise data warehouse, Power BI, and information governance.
  21. Lead the data and analytics team in implementing next-gen data and analytic capacities.
  22. Provide support to employees of the data management team and develop training for delivery to other employees in the organization.
Requirements
  1. Minimum of ten years' experience within the last fifteen years in designing and implementing data architectures, data modelling, and data analysis and profiling working on IM/IT projects.
  2. Minimum of one year's experience within the last five years in designing and implementing data architectures, data modelling, and data analysis and profiling, data pipelines (ETL) in a Microsoft Azure Cloud environment.
  3. Minimum of ten years' experience within the last fifteen years performing the following tasks:
    1. Data architecture;
    2. Data development and design;
    3. Data quality management;
    4. Reference and master data management;
    5. Data governance;
    6. Data integration;
  4. Holds a post-secondary diploma/degree in the field of computer science, computer engineering, mathematics, commerce, or IT.
Nice to Have Skills
  1. Holds Microsoft certifications from the following product categories (valid and with proof):
    1. Azure Data Factory
    2. Microsoft Dataverse
    3. Microsoft Fabric
    4. Microsoft Purview
    5. SQL Server