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Circle K

Senior Manager – Data Architecture

Circle K

Senior Manager designing enterprise data architecture at Circle K. Leading a team to modernize data solutions for improved customer experience.

Posted 7/2/2026full-timeTempe • Arizona, North Carolina • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in Data Architecture, including the design and implementation of modern data platforms, data modeling, and governance practices. Proven ability to lead teams, establish architectural standards, and drive strategic data initiatives that align with business objectives.

Highest-signal resume keywords
Data Architecture LeadershipModern Data Platform ExpertiseDeep Data Modeling ExperienceIngestion and Integration PatternsGoverned Data Products Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data ArchitectureData ModelingData GovernanceData IntegrationDimensional ModelingBatch ProcessingStreaming DataAPI IntegrationData TransformationMetadata Management
Soft Skills
People LeadershipExecutive CommunicationDecision-MakingStrategic ThinkingCollaboration
Tools & Technologies
AzureSnowflakeDatabricksData LakesData WarehousesErwinBI ToolsAI/ML PlatformsData Cataloging ToolsOperational Insight Tools
Industry Keywords
Enterprise ArchitectureSolution ArchitectureCross-Domain Solution DesignData ProductsAnalyticsBusiness IntelligenceData ScienceOperational InsightLegacy Platform MigrationQuality Controls

Tech Stack

Tools & technologies
AzureCloud

About the role

Key responsibilities & impact
  • 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 K’s 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
  • 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; raw/bronze 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
  • 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.

Requirements

What you’ll need
  • 10+ years of experience in data, analytics, enterprise architecture, solution architecture, or related technology roles
  • 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, AI/ML, 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.

Benefits

Comp & perks
  • Health insurance
  • 401(k) matching
  • Paid time off
  • Professional development opportunities