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Circle K is transforming our Data Engineering and BI platform to match our business needs. Our ambition is to deliver modern and efficient solutions with the use of cutting-edge technologies, and we are looking for an experienced Data Platform Architect to join our Global Data Engineering and BI Team, responsible for the Circle K Data Platform in Azure.
Job Responsibility:
Designing, building, and maintaining robust data platforms and solutions on Azure
Optimizing data delivery and ensuring the architecture aligns with business objectives
Leading architectural decisions and establishing governance standards
Collaborating across teams to ensure seamless data flows and scalable solutions
Driving the adoption and usage of Azure Databricks, Snowflake, Microsoft Fabric, and Power BI in the data platform
Performing architectural assessments and defining solutions to produce detailed design documents
Providing technical direction on Azure platform services
Mentoring Data Engineering and Data Science teams
Providing technical support for platform performance tuning and optimization activities
Participating in the creation and maintenance of technical roadmaps
Participating in PoCs and evaluations of new technologies
Collaborating with Information Security teams to design and implement security strategies
Defining and implementing monitoring frameworks for data pipelines and platform services
Driving automation of platform deployments using CI/CD pipelines and Infrastructure-as-Code (IaC) frameworks
Requirements:
7+ years of professional experience in designing & architecting Data & Analytics solutions, with a focus on Azure-based platforms and enterprise-scale systems
Working experience in designing and architecting solutions that leverage Databricks and Snowflake
Hands-on experience with Azure Cloud services (Azure Synapse/SQL Server, ADF or close equivalents)
Working experience with Microsoft Power BI (Power BI Platform, AAS/Tabular) integration with Azure-based Platforms
Expert understanding of relational databases, Data Warehouse & Data Lake modeling techniques & concepts, ETL/ELT processing patterns, and Big Data technologies
Practical experience in designing systems to handle large data volumes
Practical experience in designing systems for large-scale data processing with a focus on Azure performance optimization and cost management
Working knowledge of Python, PySpark, SQL & T-SQL
Working experience in designing and architecting solutions that comply with data security industry standards and regulations, including RBAC, data encryption (GDPR, PCI, etc.), and monitoring
Microsoft Azure Certification required
Nice to have:
Snowflake and Databricks certification
Experience in managing Apache Airflow
Experience with CI/CD tools (preferably github and Azure DevOps)
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