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
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.
Tech Stack
Azure
Cloud
Benefits
Health insurance
401(k) matching
Paid time off
Professional development opportunities
Senior Manager – Data Architecture at Circle K | JobVerse