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Data Architecture Jobs in Arizona (NOW HIRING)

Circle K Stores Inc.

Senior Manager Data Architecture

Tempe, AZ · On-site

$65.50 - $87.50/hr

Sr. Manager, Data Architecture About Circle K Circle K is a global leader in convenience and fuel, operating in 24 countries and part of the Alimentation Couche-Tard family. We are driving a massive ...

Circle K

Senior Manager Data Architecture

Tempe, AZ · On-site

$64.50 - $86.25/hr

Sr. Manager, Data Architecture About Circle K Circle K is a global leader in convenience and fuel,operatingin 24 countries and part of the Alimentation Couche-Tard family. We are driving a massive ...

Advisor Group

VP, Data Architecture

Scottsdale, AZ · On-site

$200K - $230K/yr

Osaic Careers Technology Vice President Opportunity in Financial Services VP, Data Architecture Location(s): 2300 Windy Ridge Parkway, Atlanta, GA 30339 877 Executive Center Drive West, St.

Stantec

Senior Data Architect

Tucson, AZ · On-site

$64.75 - $86.75/hr

Ensure the architecture supports current and future business needs with an emphasis on data quality, consistency, and governance. Oracle EBS & Cloud Integration: Lead the future integration of PM2PA ...

IDEALFORCE LLC

Data Architect/SR (28543)

Phoenix, AZ

$66.75 - $89.25/hr

The data architecture should cover databases, data integration and the means to get to the data. The Sr. Data Architect will achieve his/her goals via setting enterprise data standards. -The Sr. Data ...

Stantec

Senior Data Architect

Tucson, AZ · On-site

$62.50 - $83.75/hr

Ensure the architecture supports current and future business needs with an emphasis on data quality, consistency, and governance. Oracle EBS & Cloud Integration: Lead the future integration of PM2PA ...

First Citizens Bank

Senior Data Architect

Phoenix, AZ · On-site

$66.75 - $89.25/hr

Lead architecture design across operational, analytical, reporting, regulatory, and AI use cases. * Drive consistency across data acquisition, storage, transformation, governance, and consumption ...

First Citizens Bank

Senior Data Architect

Phoenix, AZ · On-site

$64.25 - $86/hr

Lead architecture design across operational, analytical, reporting, regulatory, and AI use cases. * Drive consistency across data acquisition, storage, transformation, governance, and consumption ...

First Citizens Bank

Senior Data Architect

Phoenix, AZ · On-site

$66.75 - $89.25/hr

Lead architecture design across operational, analytical, reporting, regulatory, and AI use cases. * Drive consistency across data acquisition, storage, transformation, governance, and consumption ...

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How much do data architecture jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for data architecture in Arizona is $65.21, according to ZipRecruiter salary data. Most workers in this role earn between $57.12 and $73.46 per hour, depending on experience, location, and employer.

What is data architecture?

Data architecture refers to the design and structure of an organization's data systems and resources. It involves defining how data is collected, stored, managed, and used across different platforms and applications. Data architects create blueprints that ensure data is organized, secure, and accessible, supporting both current and future business needs. Effective data architecture helps organizations optimize data flow, maintain data quality, and comply with regulations.

What are the key skills and qualifications needed to thrive as a data architect?

To thrive as a Data Architect, you need a solid background in database management, data modeling, and systems design, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL, NoSQL databases, ETL platforms, and certifications such as AWS Certified Data Analytics or Google Professional Data Engineer are highly valued. Strong analytical thinking, attention to detail, and effective communication skills enable a Data Architect to translate business needs into robust data solutions. These competencies are critical for designing scalable, secure, and efficient data infrastructures that drive organizational decision-making and growth.

What are some common challenges faced by data architects when integrating data from multiple sources?

Data Architects often encounter challenges such as data inconsistency, varying data formats, and differing data quality standards when integrating information from multiple sources. Ensuring seamless data flow while maintaining data integrity and security can require extensive data mapping, transformation, and validation processes. Collaborating closely with data engineers, business analysts, and IT teams is essential to identify requirements and resolve integration issues. Successfully addressing these challenges results in a unified, reliable data environment that supports organizational analytics and decision-making.

What is the difference between Data Architecture vs Data Engineer?

AspectData ArchitectureData Engineer
Primary FocusDesigning data systems and structuresBuilding and maintaining data pipelines
Skills & CertificationsData modeling, database design, certifications like TOGAFProgramming, ETL tools, cloud platforms
Work EnvironmentStrategic planning, architecture design teamsDevelopment teams, data pipeline implementation
Industry UsageData strategy, enterprise data managementData processing, analytics infrastructure

Data Architects focus on designing the overall data systems and structures, ensuring data is organized and accessible. Data Engineers implement these designs by building data pipelines and infrastructure. Both roles collaborate closely but differ in their core responsibilities and skill sets.

Are data architects in demand?

Data architects are in high demand due to the increasing need for organizations to manage large volumes of data effectively. They design and implement data systems, often requiring skills in database management, cloud platforms, and data modeling, making their expertise valuable across many industries.

How much does a data architect get paid?

Data architects typically earn a median annual salary between $100,000 and $150,000, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and data modeling can command higher salaries, often exceeding $160,000 annually.

What does a data architect do?

A data architect designs and manages an organization’s data infrastructure, including data models, storage, and integration systems. They develop strategies for data flow, ensure data quality, and often work with tools like SQL and cloud platforms to support business analytics and decision-making.

What are the most commonly searched types of Data Architecture jobs in Arizona?

The most popular types of Data Architecture jobs in Arizona are:

What are popular job titles related to Data Architecture jobs in Arizona?

For Data Architecture jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Data Architecture jobs in Arizona look for?

The top searched job categories for Data Architecture jobs in Arizona are:

What cities in Arizona are hiring for Data Architecture jobs?

Cities in Arizona with the most Data Architecture job openings:

Data Architecture jobs near you
Infographic showing various Data Architecture job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $135,642 per year, or $65.2 per hour.

Senior Manager Data Architecture

Circle K Stores Inc.

Tempe, AZ • On-site

$65.50 - $87.50/hr

Other

Re-posted 12 days ago

Circle K rating

4.9

Company rating: 4.9 out of 10

Based on 1,360 frontline employees who took The Breakroom Quiz

32nd of 47 rated convenience stores

Job description

Sr. Manager, Data Architecture
About Circle K
Circle K is a global leader in convenience and fuel, operating in 24 countries and part of the Alimentation Couche-Tard family. We are driving a massive digital transformation, leveraging our global scale and data assets to redefine the customer experience and operational efficiency. Join our Global Data Engineering, Architecture and Enablement team and help build the foundation for data-driven decisions across our entire enterprise.
Location
This is a full-time (5 days in office) role based at an established Circle K office location.
The Role
Circle K is looking for a Sr. Manager, Data Architecture to lead the team that defines how enterprise data is discovered, modeled, integrated, governed, and delivered through our modern global data platform. This is a high-impact leadership role for someone who can combine strong people leadership with deep data architecture expertise. The right candidate will bring structure to ambiguity, set clear architectural direction, and help teams move faster by creating reusable patterns, practical standards, and trusted data products across Azure, Snowflake, Databricks, and related data technologies.
Key Responsibilities and Accountabilities
This role owns the architecture function for the full data lifecycle, from source discovery and ingestion through curated data products and semantic models. The person in this role will lead a team of data architects and modelers while partnering with engineering, analytics, governance, platform, and business teams to deliver scalable, reusable, and business-ready data solutions.
1. Strategy & Leadership
  • 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.

2. Own End-to-End Data Architecture
  • 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.

3. Establish Architecture Standards and Governance
  • 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.

4. Partner Across Delivery and Modernization
  • 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.

What a Strong Candidate Looks Like
  • A proven data architecture leader who has managed or led senior architects, modelers, or technical design teams.

  • Someone who has built or modernized enterprise data platforms, preferably using Azure, Snowflake, Databricks, data lake, data warehouse, or lakehouse technologies.

  • A hands-on architecture leader who understands data modeling, ingestion patterns, dimensional design, semantic layers, governance, and data product design deeply enough to guide others.

  • A practical communicator who can simplify complex architecture decisions for engineers, business partners, governance teams, and executives.

  • A transformation-minded leader who can bring structure, standards, and direction without creating unnecessary bureaucracy.

  • Someone who has experience in retail, convenience, fuel, merchandising, loyalty, supply chain, finance, store operations, or customer/digital data domains.

Required Qualifications
  • 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.

  • 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.

Why Join Circle K?
You will be joining a high-impact team at a pivotal moment in our technological transformation. You will have the autonomy to define the enterprise-level data landscape for a global organization, directly contributing to business performance and customer experience.
#LI-PG1
Circle K is an Equal Opportunity Employer.
The Company complies with the Americans with Disabilities Act (the ADA) and all state and local disability laws. Applicants with disabilities may be entitled to a reasonable accommodation under the terms of the ADA and certain state or local laws as long as it does not impose an undue hardship on the Company. Please inform the Company's Human Resources Representative if you need assistance completing any forms or to otherwise participate in the application process.
Click below to review information about our company's use of the federal E-Verify program to check work eligibility:
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About Circle K

Sourced by ZipRecruiter

Circle K Stores are owned by Alimentation Couche-Tard, the largest convenience store operator in Canada. We are recognized for our strong food service brands, Simply Great Coffee, and of course our icy cold, flavour abundant Frosters. Our innovative store design and merchandising is second to none.

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Tempe, AZ, US

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