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Tech Stack
Tools & technologiesAzureCloud
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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data ArchitectureData ModelingData GovernanceData IntegrationDimensional ModelingBatch ProcessingStreaming DataAPI IntegrationData TransformationMetadata Management
Soft Skills
People LeadershipExecutive CommunicationDecision-MakingStrategic ThinkingCollaboration