Data Architect
4 weeks ago
We are seeking a highly skilled Data Architect to join our Data Strategy and Engineering team at goeasy Ltd. As a Data Architect, you will be responsible for designing and implementing large-scale data-driven engagements, providing direction as a subject matter expert in Azure, AWS, and SQL Server Data architecture.
Key Responsibilities- 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, compute, databases, and big data processing.
- 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.
- 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 (e.g., 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.
We are committed to providing accommodations for applicants upon request at any stage of the recruitment process in accordance with all legislative requirements throughout Canada.
All candidates considered for hire must successfully pass a criminal background check, credit check, and validation of their work experience to qualify for hire.
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