Data Architect

4 weeks ago

Mississauga, Canada goeasy Ltd. Full time

Embark on a journey with one of Canada's fastest growing companies – welcome to goeasy We have been honored with recognitions such as  Waterstone Canada’s Most Admired Corporate Cultures , the  2022 Report on Business Women Lead Here ,  Report on Business for Canada’s Top Growing Companies  and  TSX30 as one of the  best performing companies on the TSX . We've also received the  Greater Toronto Top Employers Award  and  certified as a Great Place to Work® . We're on the lookout for the best and brightest to join our team

Our vision is to provide everyday Canadians a path to a better tomorrow, today. As one of Canada’s leading non-prime consumer lenders, we offer a full suite of products including non-prime leasing, unsecured and secured loans as well as point-of-sale-financing though easyhome, easyfinancial, and LendCare.

You will be part of our Data Strategy and Engineering team to architect large scale data driven engagements and provide direction as the subject matter expert in Azure, AWS and SQL Server Data architecture. You will orchestrate the development of architectural standards, patterns, and frameworks at goeasy. This primarily consists of both Azure cloud, AWS cloud, MicroStrategy and On-Prem Data Warehouse environments, including but not limited to migration of legacy platforms to Cloud Infrastructure.

What will you be doing?

Designing robust and scalable data architectures leveraging Azure and AWS services, encompassing data lakes, warehouses, pipelines, and streaming solutions. Demonstrating deep understanding of Azure and AWS platforms, including storage (Azure Blob Storage, AWS S3), compute (Azure VMs, AWS EC2), databases (Azure SQL Database, AWS RDS), and big data processing (Azure Databricks, AWS EMR). Integrating data from diverse sources into cloud environments using tools like Azure Data Factory, AWS Glue, or custom ETL processes. Ensuring data solutions comply with industry standards like GDPR, implementing security best practices, encryption, and access controls. Optimizing data pipelines, queries, and storage for performance and cost-efficiency, monitoring and tuning to meet SLAs and business requirements. Implementing disaster recovery, backup, and high availability strategies for data resilience and business continuity. Documenting architecture designs, configurations, and best practices for Azure and AWS data solutions, providing guidance on implementation. Implementing data cataloging and metadata management for proper documentation and discoverability. Performance Optimization: Optimizing data pipelines, queries, and analytics performance for MicroStrategy dashboards and reports. Ensuring security compliance on Azure and AWS, implementing encryption, access controls, and auditing mechanisms. Optimizing data storage and processing costs, monitoring resource usage for efficiency. Implementing data backup and disaster recovery strategies for data availability and business continuity. Designing logical and physical data models for SQL Server databases, ensuring integrity, normalization, and performance. Collaborating with cross-functional teams to understand data integration needs and provide tailored solutions.

What experience do you have?

Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. Proven experience as a Data Architect or Data Engineer with hands-on experience in designing and implementing data solutions on Azure Data Lake and AWS. Strong understanding of cloud services and data architecture principles. Proficiency in data integration and ETL concepts and practical experience with cloud technologies. Knowledge of data storage and processing technologies in Azure, including Azure Data Lake Storage, Azure Data Lake Analytics, and Azure Synapse Analytics and legacy SQL Data Warehouse. Experience in migration projects from On Prem to Azure Cloud Services (Data Lake/Synapse). Experience with data transformation and data preparation tools and techniques. Knowledge of data security and compliance practices in the Azure cloud environment. Familiarity with data cataloging and metadata management tools and practices. Azure certifications related to data and analytics (, Microsoft Certified: Azure Data Engineer Associate) are a plus. In-depth knowledge of SQL Server database design, implementation, and administration. Proficiency in SQL programming, T-SQL, and stored procedures. Familiarity with data warehousing and business intelligence concepts.

We offer a Flexible Work Program that provides you the ability to work three days onsite per week , between our Mississauga and downtown Toronto office.

Internal Applicants:  please apply through the link and provide written endorsement from your current manager.

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