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Circle K is transforming our Global 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 Microsoft Azure. As a Data Platform Architect Lead, you will be responsible for designing, building, and maintaining robust data platforms and solutions on Azure and providing leadership to a team of architects and cloud platform administrators. Your work will focus on optimizing data delivery and ensuring the architecture aligns with business objectives, supporting new initiatives, and enhancing existing data capabilities. You will lead architectural decisions, establish governance standards, and collaborate across teams to ensure seamless data flows and scalable solutions.
Job Responsibility:
Ensuring work is assigned, understood and completed by the team members as per agreed timelines and in accordance with team members’ skillsets and agreed upon standards
Executing the required performance management requirements for your direct reports (employees) including but not limited to setting annual objects / KRAs, mid-year and year-end progress reviews, and growth conversations
Working with Azure Cloud data platforms, providing subject matter expertise in designing, architecting and maintaining these 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 addressing complex data needs
Working with the team to define and drive platform governance initiatives
Contributing and collaborating with other architects within the Enterprise Architecture team to get required approval from the Architecture Review Board for new initiatives
Providing technical direction on Azure platform services, including best practices for system configurations, integration patterns, and leveraging platform features to meet business requirements
Providing platform standards to support the broader team of Data Engineering and Data Science Teams (establishing standards & best practices, efficient usage of Azure service, efficient ETL design patterns)
Mentoring of Data Engineering and Data Science teams on, for example, leveraging Azure platform capabilities, such as configuring SPNs for system connections, enabling monitoring/logging for pipelines, and implementing security protocols
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 to identify opportunities for improving data platform capabilities and integration
Working with Information Security Architect to develop and implement application or solution information security architectures
Collaborating with Information Security teams to design and implement security strategies, including identity management, access control, and data encryption within the Azure platform
Collaborating with product owners, business analysts, and developers to translate business requirements into scalable platform solutions
Defining and implementing monitoring frameworks for data pipelines and platform services to ensure high availability and proactive issue resolution
Driving automation of platform deployments using CI/CD pipelines and Infrastructure-as-Code (IaC) frameworks such as Terraform or Azure DevOps
Requirements:
10+ years of professional experience in designing & architecting Data & Analytics solutions, with a focus on Azure-based platforms and enterprise-scale systems
5+ years’ experience leading cloud platform architects and platform administrators
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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