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Core Competencies
Role fitCore 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 using Azure, Snowflake, and Databricks. Proven leadership in guiding teams through transformation and modernization efforts while ensuring data governance and quality standards are met.
Highest-signal resume keywords
Data Architecture LeadershipModern Data Platform ExpertiseDeep Data Modeling ExperienceIngestion and Integration PatternsExecutive Communication Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ArchitectureData ModelingData GovernanceData IntegrationBatch ProcessingStreaming DataCDCAPIsDimensional ModelingSemantic Modeling
Soft Skills
People LeadershipCommunication SkillsInfluencing SkillsProblem-SolvingMentoring
Tools & Technologies
AzureSnowflakeDatabricksData LakesData WarehousesErwinBI ToolsAI/ML ToolsData Cataloging ToolsDataOps
Industry Keywords
RetailConvenienceFuelMerchandisingLoyaltySupply ChainFinanceStore OperationsCustomer DataDigital Data
Tech Stack
Tools & technologiesAzure
About the role
Key responsibilities & impact- Lead and develop the Data Architecture team, including data architects and modelers
- Set the data architecture vision and roadmap for Circle K’s modern data platform
- Define practical standards, reference architectures, and execution priorities
- Lead transformation from legacy, project-based delivery toward reusable, domain-aligned, product-oriented data platform practices
- Influence data engineering, BI, analytics, platform, governance, product, and business leaders
- Guide source discovery and data assessment, including source identification, availability, freshness, latency, volume, velocity, and source-to-target mapping
- Define ingestion and raw-layer architecture for batch, streaming, CDC, API, and file-based patterns
- Establish cleansed and standardized data structures and transformation patterns
- Own refined and dimensional modeling standards, including facts, dimensions, slowly changing dimensions, keys, grain, and referential relationships
- Design curated, reusable, governed, versioned data products aligned to business needs
- Influence semantic-layer patterns for consistent metrics, entities, hierarchies, and self-service analytics
- Define reusable patterns for ingestion, transformation, modeling, data products, semantic models, metadata, lineage, and quality controls
- Establish design review practices and partner with Data Governance on quality, ownership, stewardship, privacy, security, retention, and regulatory requirements
- Create architecture documentation for technical, governance, business, and senior leadership audiences
- Partner across Data Engineering, BI, Analytics, Platform, DevOps/DataOps, Data Governance, and business product teams
- Support modernization and migration from legacy environments to Azure, Snowflake, Databricks, lakehouse, warehouse, and data product patterns
- Participate in design reviews, solution shaping, reference architectures, targeted prototypes, delivery planning, prioritization, estimation, PI planning, backlog readiness, and roadmap execution
Requirements
What you’ll need- 10+ years of experience in data, analytics, enterprise architecture, solution architecture, or related technology roles
- 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 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 supporting 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 through ambiguity, modernization, operating model change, and legacy platform migration
- Excellent executive and technical communication skills
- Experience in retail, convenience, fuel, merchandising, loyalty, supply chain, finance, store operations, or customer/digital data domains
- Ability to explain tradeoffs, risks, decisions, and recommendations clearly
Benefits
Comp & perks- Full-time employment
- 5 days in office
- Autonomy to define the enterprise-level data landscape
- Opportunity to contribute to business performance and customer experience
- Reasonable accommodation for applicants with disabilities, where applicable