Manager Semantic Jobs in Arizona (NOW HIRING)

Job Summary:
Circle K is a global leader in convenience and fuel, operating in 24 countries and part of the Alimentation Couche-Tard family. They are seeking a Senior Manager of Data Architecture to lead a team responsible for defining how enterprise data is managed and delivered through their global data platform.
Responsibilities:
• 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.
• 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.
• 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.
• 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.
• Partner with Data Engineering, BI, Analytics, Platform, DevOps/ DataOps , 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.
Qualifications:
Required:
• 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, AI/ML, data science, reporting, and operational insight use cases.
• 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.
Preferred:
• Experience with data modeling, cataloging, or governance tools; Erwin experience is preferred.
• Experience in retail, convenience, fuel, merchandising, loyalty, supply chain, finance, store operations, or customer/digital data domains.
Company:
Our mission at Circle K is to make our customers' lives a little easier every day. Founded in 1951, the company is headquartered in Laval, CAN, with a team of 10001+ employees. The company is currently Late Stage.