Senior Manager – Data Architecture

Jobtailor; Arizona; On-site; USD 150,000 - 210,000; Full time

Job summary

Circle K is seeking a Senior Data Architect Leader in Arizona to guide a data architecture team and define the vision for the modern data platform. You will translate strategy into practical standards, reference architectures, and work with cross-functional teams to deliver scalable data solutions.

You will lead modeling efforts, govern data products, and ensure data integration across domains while balancing speed, quality, and business value.

Qualifications

• 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

Responsibilities

• Lead and develop the Data Architecture team responsible for enterprise data design and modeling standards.
• Set the data architecture vision and roadmap for Circle K’s data platform, translating strategy into standards and architectures.
• Drive prioritization across competing demands, balancing speed, quality, reuse, governance and business value.
• Guide source discovery and data assessment, identifying source systems and mapping to targets.
• Define ingestion and raw layer architecture, including batch, streaming, CDC, API and file-based patterns.
• Establish cleansed data structures (silver layer) with standardized data types and transformations.
• Own dimensional modeling standards: facts, dimensions, conformed dimensions, slowly changing dimensions, keys, grain, relationships
• Design curated data products that are reusable, governed, versioned, and business-aligned.
• Influence semantic layer patterns for consistent metrics and self-service analytics.
• Define reusable patterns for ingestion, transformation, modeling, data products, metadata, lineage and quality controls
• Establish design review practices that improve quality without slowing delivery

Skills

Data architecture

People leadership

Enterprise architecture

Modern data platforms

Data modeling

Ingestion patterns

Governance practices

Executive communication

Strategic roadmaps

Tools

Erwin

Job description

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
• 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