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Master Data Management Engineer
1 week ago
Our valued client is looking for a Senior Data Architect to provide tactical advice on Data and Analytics, Data Management, Master Data, Enterprise Data Warehouse, Power Bi, and Information Governance.
This is a remote position with an initial 8-month contract.and develop strategic recommendations for senior management.
# Define input/output sources, plan for technical design phase, and obtain system proposal approval.
# Design, implement, improve, and document the next-gen data and analytic architecture at FCAC, including the Enterprise Data Warehouse and other D&A components.
# Develop technical architectures, frameworks, and strategies to meet business and application needs.
# Identify and document system-specific standards for data and analytics development, documentation, testing, and application sub-systems.
# Identify solution-driving policies and requirements.
# Collaborate with Business and IM/IT teams to implement the D&A architecture and its components.
# Implement Business Intelligence development standards and best practices.
# Advise on optimizing Information Architecture, Metadata, Reference, and Master Data Modelling.
# Advise on standardization techniques for enterprise reporting initiatives.
# Advise on data quality solution outputs.
# 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.
# Lead the data and analytic team in implementing next-gen data and analytic capacities.
# Provide support to employees of the data management team and develop training for delivery to other employees in the organization.
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.
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.
Holds a post-secondary diploma/degree in the field of computer science, computer engineering, mathematics, commerce, or IT.Holds Microsoft certifications from the following product categories (valid and with proof): Azure Data Factory, Microsoft Dataverse, Microsoft Fabric, Microsoft Purview, SQL Server.
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