Sr. Manager Data Architecture About Circle K Circle K is a global leader in convenience and fuel operating in 24 countries and part of the Alimentation Couche-Tard family. We are driving a massive digital transformation leveraging our global scale and data assets to redefine the customer experience and operational efficiency. Join our Global Data Engineering Architecture and Enablement team and help build the foundation for data-driven decisions across our entire enterprise. Location This is a full-time 5 days in office role based at an established Circle K office location. The Role Circle K is looking for a Sr. Manager Data Architecture to lead the team that defines how enterprise data is discovered modeled integrated governed and delivered through our modern global data platform. This is a high-impact leadership role for someone who can combine strong people leadership with deep data architecture expertise. The right candidate will bring structure to ambiguity set clear architectural direction and help teams move faster by creating reusable patterns practical standards and trusted data products across Azure Snowflake Databricks and related data technologies. Key Responsibilities and Accountabilities This role owns the architecture function for the full data lifecycle from source discovery and ingestion through curated data products and semantic models. The person in this role will lead a team of data architects and modelers while partnering with engineering analytics governance platform and business teams to deliver scalable reusable and business-ready data solutions. 1. Strategy & Leadership Lead and develop the Data Architecture team including data architects and modelers responsible for enterprise data design modeling standards and architectural direction. Set the data architecture vision and roadmap for Circle Ks modern data platform translating strategy into practical standards reference architectures and execution priorities. Create focus and drive decisions across competing priorities helping teams balance speed quality reuse governance and business value. Lead through transformation as teams move from legacy project-based delivery toward reusable domain-aligned product-oriented data platform practices. Influence across teams and senior stakeholders building alignment with data engineering BI analytics platform governance product and business leaders. 2. Own End-to-End Data Architecture Guide source discovery and data assessment including source system identification data availability freshness latency volume velocity and initial source-to-target mapping. Define ingestion and raw layer architecture including batch streaming CDC API and file-based patterns rawbronze landing schemas and incremental load strategies. Establish cleansed and standardized data structures including silver layer schema design data type standardization format normalization and consistent transformation patterns. Own refined and dimensional modeling standards including facts dimensions conformed dimensions slowly changing dimensions surrogate keys business keys grain definition and referential relationships. Design curated data products that integrate data across domains and are reusable governed versioned and aligned to business consumption needs. Influence semantic layer patterns that provide consistent business metrics entities hierarchies and self-service analytics experiences. 3. Establish Architecture Standards and Governance Define reusable architecture patterns for ingestion transformation modeling data products semantic models metadata lineage and quality controls. Establish practical design review practices that improve quality and consistency without slowing delivery. Partner with Data Governance to ensure architecture standards support data quality ownership stewardship privacy security retention and regulatory requirements. Create clear architecture documentation that can be used by engineers product teams governance partners business stakeholders and senior leaders. 4. Partner Across Delivery and Modernization Partner with Data Engineering BI Analytics Platform DevOpsDataOps Data Governance and business product teams to shape integrated data solutions from concept through delivery. Support platform modernization and migration from legacy data environments to modern Azure Snowflake Databricks lakehouse warehouse and data product patterns. Stay technically engaged through design reviews solution shaping reference architectures and targeted prototypes while enabling teams to execute independently. Integrate architecture work into delivery planning including prioritization estimation PI planning backlog readiness and roadmap execution. What a Strong Candidate Looks Like A proven data architecture leader who has managed or led senior architects modelers or technical design teams. Someone who has built or modernized enterprise data platforms preferably using Azure Snowflake Databricks data lake data warehouse or lakehouse technologies. A hands-on architecture leader who understands data modeling ingestion patterns dimensional design semantic layers governance and data product design deeply enough to guide others. A practical communicator who can simplify complex architecture decisions for engineers business partners governance teams and executives. A transformation-minded leader who can bring structure standards and direction without creating unnecessary bureaucracy. Someone who has experience in retail convenience fuel merchandising loyalty supply chain finance store operations or customerdigital data domains. Required Qualifications 10 years of experience in data analytics enterprise architecture solution architecture or related technology roles including 5 years focused on data architecture. People leadership experience leading managing or mentoring data architects data modelers or senior technical specialists. Strong enterprise data architecture background including architecture standards design patterns roadmaps governance practices and cross-domain solution design. Modern data platform expertise across cloud data platforms such as Azure Snowflake Databricks data lakes data warehouses or lakehouse architectures. Deep data modeling experience including conceptual logical physical dimensional and semantic modeling. Strong knowledge of ingestion and integration patterns including batch streaming CDC APIs and file-based data movement. Experience with governed data products that support analytics BI AIML data science reporting and operational insight use cases. Experience with data modeling cataloging or governance tools Erwin experience is preferred. Strong transformation leadership with the ability to lead teams through ambiguity modernization operating model change and legacy platform migration. Excellent executive and technical communication skills with the ability to explain tradeoffs risks decisions and recommendations clearly. Why Join Circle K You will be joining a high-impact team at a pivotal moment in our technological transformation. You will have the autonomy to define the enterprise-level data landscape for a global organization directly contributing to business performance and customer experience. LI-PG1 Circle K is an Equal Opportunity Employer.The Company complies with the Americans with Disabilities Act the ADA and all state and local disability laws. Applicants with disabilities may be entitled to a reasonable accommodation under the terms of the ADA and certain state or local laws as long as it does not impose an undue hardship on the Company. Please inform the Companys Human Resources Representative if you need assistance completing any forms or to otherwise participate in the application process.Click below to review information about our companys use of the federal E-Verify program to check work eligibilityIn EnglishIn Spanish