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Data Structure Jobs in Arizona (NOW HIRING)

Judge Group, Inc.

Data Engineer

Scottsdale, AZ · On-site

$60 - $70/hr

Develop processes and procedures supporting data transformation, data structures, metadata, dependency identification and workload management. Working knowledge of message queuing, stream processing ...

Menzo Technologies

IT manager BPM

Tempe, AZ · On-site

... design, data structure design and SQL • Solid knowledge of SOA frameworks, and web services integration via SOAP, REST,JSON, XML, XML-RPC, XSL, XSLT, XPATH, XQuery, WSDL, Java • Strong ...

IDEALFORCE LLC

Data Developer(33441)

Phoenix, AZ · On-site

... data and data structures Assist the Lead Database Architect implementing data architecture principles to align and conform business capabilities Assist in supporting multiple SQL Server data ...

IDEALFORCE LLC

QA Analyst (30407)

Phoenix, AZ

Complex Data Structure Experience - 3+ yrs exp * Visual Studio 2010 /2012 MTM - 3+ yrs exp * Windows 7 - 2+ yrs exp * C# - 2+ yrs exp * SQL Server 2008 R2 - 2+ yrs exp * T-SQL - 2+ yrs exp Additional ...

IDEALFORCE LLC

QA Analyst (29688)

Phoenix, AZ · On-site

Complex Data Structure Experience - 3+ yrs exp * Visual Studio 2010 /2012 MTM - 3+ yrs exp * Windows 7 - 2+ yrs exp * C# - 2+ yrs exp * SQL Server 2008 R2 - 2+ yrs exp * T-SQL - 2+ yrs exp Additional ...

Circle K

Senior Manager Data Architecture

Tempe, AZ · On-site

$65.50 - $87.50/hr

... structures , including silver layer schema design, data type standardization, format normalization, and consistent transformation patterns. • Own refined and dimensional modeling standards ...

Conch Technologies Inc

Data Analyst

Tempe, AZ · On-site

Experience working with structured, semi-structured, and unstructured data * Strong analytical, problem-solving, and communication skills * Ability to collaborate with Business Analysts, Architects ...

AECOM

Data Manager (Oil, Gas, Remediation)

Phoenix, AZ · On-site

Demonstrates strong knowledge of data optimization tools, data structures, data architecture, and data warehousing solutions. * Demonstrates strong knowledge of API (Application Programming Interface ...

AECOM

Data Manager (Oil, Gas, Remediation)

Phoenix, AZ · On-site +1

Demonstrates strong knowledge of data optimization tools, data structures, data architecture, and data warehousing solutions. * Demonstrates strong knowledge of API (Application Programming Interface ...

Virtuous Software

Lead Data Platform Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

Partner with Data Operations and Teams across the company to ensure data structures are accurate, reusable, and aligned with business definitions. * Prepare data foundations that allow AI tools to ...

Virtuous

Lead Data Platform Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Partner with Data Operations and Teams across the company to ensure data structures are accurate, reusable, and aligned with business definitions. * Prepare data foundations that allow AI tools to ...

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Data Structure information

See Arizona salary details

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How much do data structure jobs pay per year?

As of Jul 20, 2026, the average yearly pay for data structure in Arizona is $153,778.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $158,400.00 per year, depending on experience, location, and employer.

What are data structures?

Data structures are specialized formats for organizing, processing, and storing data in computers so that it can be accessed and modified efficiently. Common types include arrays, linked lists, stacks, queues, trees, and graphs. Each data structure is designed to solve specific types of problems and optimize certain operations such as searching, sorting, or inserting data. Understanding data structures is fundamental for programming and software development, as they directly impact the performance and scalability of applications.

What is the salary of a data structure?

A data structure is a fundamental concept in computer science and not a job role, so it does not have a salary. However, professionals skilled in data structures, such as software developers and data engineers, typically earn salaries ranging from $60,000 to over $120,000 annually depending on experience, location, and industry. Proficiency in algorithms, programming languages, and tools like Python or Java can influence earning potential.

What is the difference between Data Structure vs Data Analyst?

AspectData StructureData Analyst
Required CredentialsComputer Science degree, programming skillsStatistics, data analysis certifications, degree in related fields
Work EnvironmentSoftware development, programming, algorithm designBusiness, finance, marketing, data interpretation
Industry UsageSoftware engineering, computer scienceBusiness intelligence, marketing, finance

Data Structures focus on organizing and storing data efficiently within software applications, requiring programming skills and technical knowledge. Data Analysts interpret data to provide insights, often using statistical tools and working closely with business teams. While Data Structures are foundational for software development, Data Analysts apply data to solve business problems. Both roles are essential in data-driven industries but serve different purposes and skill sets.

What is a Data Structure job?

A Data Structure job typically involves designing, implementing, and optimizing data storage and retrieval mechanisms in software applications. Professionals in this role work with different data structures like arrays, linked lists, trees, and graphs to improve the efficiency of algorithms. They are often employed in software development, data engineering, or system architecture roles, ensuring that data is managed efficiently for various applications. Strong problem-solving skills and proficiency in programming languages like Python, Java, or C++ are essential for success in this field.

What jobs use data structures?

Data structures are fundamental in many jobs related to software development, such as software engineers, data analysts, and database administrators. These roles require understanding and implementing data structures like arrays, trees, and graphs to optimize algorithms and manage data efficiently.

What are the key skills and qualifications needed to thrive as a Data Structures Engineer, and why are they important?

To thrive as a Data Structures Engineer, you need a solid understanding of algorithms, programming languages (such as Java, C++, or Python), and a formal education in computer science or a related field. Familiarity with version control systems like Git, debugging tools, and experience with relevant libraries or frameworks are typically required. Strong analytical thinking, problem-solving abilities, and effective communication help you design efficient solutions and collaborate with other developers. These skills ensure robust, scalable software that meets performance requirements and supports business objectives.

What is a data structure job?

A data structure job involves designing, implementing, and maintaining data structures that organize and store data efficiently for software applications. These roles often require knowledge of algorithms, programming languages like Python or C++, and understanding of how data structures impact system performance.

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand areas like technology companies or specializing in fields such as machine learning or cloud computing, can earn $500,000 or more annually. Achieving this level typically requires extensive experience, advanced skills, and often stock options or bonuses as part of compensation packages.

What are some common challenges faced by professionals working with data structures in software development?

Professionals working with data structures often encounter challenges such as selecting the most efficient data structure for a specific application, optimizing memory usage, and ensuring code scalability as data volume grows. Collaboration with other team members, such as developers and data engineers, is essential to design robust solutions that balance performance and maintainability. Additionally, staying current with evolving algorithms and best practices helps address complex data manipulation tasks in real-world projects.
What are the most commonly searched types of Data Structure jobs in Arizona? The most popular types of Data Structure jobs in Arizona are:
What are popular job titles related to Data Structure jobs in Arizona? For Data Structure jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Data Structure jobs in Arizona look for? The top searched job categories for Data Structure jobs in Arizona are:
Data Structure jobs near you
Senior Manager Data Architecture

Senior Manager Data Architecture

Circle K Stores, Inc.

Tempe, AZ • On-site

$64.50 - $86.25/hr

Full-time

Re-posted 13 days ago

Circle K rating

4.9

Company rating: 4.9 out of 10

Based on 1,330 frontline employees who took The Breakroom Quiz

33rd of 48 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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