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Data Warehouse Jobs in Arizona (NOW HIRING)

... data warehouse or data management projects - understanding data tools * 5 years of experience in working with data management teams * 3 years of enterprise scale data warehouse * Ability to ...

Data Lakes & Data Warehousing * Data Governance, Metadata Management, and Data Lineage Key Responsibilities * Analyze, profile, and validate data across legacy and target systems * Develop and ...

Principle Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

This is a technical role that involves defining changes to the warehouse data model and building scalable and efficient processes to populate or modify warehouse data. The successful candidate will ...

Fabric Data Engineer

Scottsdale, AZ · Hybrid

$115K - $138K/yr

Lead Lakehouse and Warehouse design on the medallion (Bronze, Silver, Gold) pattern, and set the best practices the team follows. * Cloud modernization: Help move on-premise relational data into ...

Fabric Data Engineer

Scottsdale, AZ · On-site

$150 - $200/hr

Lead Lakehouse and Warehouse design on the medallion (Bronze, Silver, Gold) pattern, and set the best practices the team follows. * Cloud modernization: Help move on-premise relational data into ...

Fabric Data Engineer

Scottsdale, AZ · On-site

$150 - $200/hr

Lead Lakehouse and Warehouse design on the medallion (Bronze, Silver, Gold) pattern, and set the best practices the team follows. * Cloud modernization: Help move on-premise relational data into ...

Bigdata engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Responsibilities : • Big Data Engineer with mapreduce, spark, hive, sql skillset • Expert in SQL and Data warehousing concepts. • Hands-on experience with public cloud data warehouse (GCP ...

The role involves working with AWS services, data warehousing, and ETL tools to manage and process data effectively. Responsibilities : • Strong proficiency with AWS services (e.g. S3, Glue, Macie ...

Data Engineer

Phoenix, AZ · On-site

$55 - $65/hr

Maintain enterprise data warehouse * Partner with analytics teams * Improve data quality and governance Qualifications * 3+ years of Data Engineering experience * SQL expertise * Python * Snowflake ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Maintain enterprise data warehouse * Partner with analytics teams * Improve data quality and governance Qualifications * 3+ years of Data Engineering experience * SQL expertise * Python * Snowflake ...

Data Engineer (Full-time)

Phoenix, AZ · On-site

$113K - $136K/yr

Proficiency in Data Modeling and Data Warehousing to support both transactional and analytical workloads. * Experience with Extract Transform Load (ETL) processes, including developing, optimizing ...

AWS data engineer

Chandler, AZ · On-site

$63.50 - $83.50/hr

Responsibilities : • Must have: aws data, datazone, databricks, glue or spark, python, data warehousing, CI/CD • Bachelor's degree in Computer Science, Engineering or related field • 5+ years ...

Adobe AEP engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Experience in designing and building Data Warehouse and Data lakes good knowledge of data warehouse principles and concepts * Technical expertise working in large scale Data Warehousing applications ...

Showing results 41-60

Data Warehouse information

See Arizona salary details

$23.3K

$117.3K

$159.4K

How much do data warehouse jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data warehouse in Arizona is $117,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,700.00 and $149,100.00 per year, depending on experience, location, and employer.

What is a data warehouse?

A data warehouse is a centralized repository designed to store, manage, and analyze large volumes of structured data from multiple sources. It enables organizations to consolidate data, making it easier to generate reports, perform analytics, and make data-driven decisions. Data warehouses are optimized for read-heavy operations and complex queries, supporting business intelligence and long-term historical analysis. They differ from traditional databases by focusing on analytical processing rather than day-to-day transaction processing.

What are the qualifications to get a data warehouse job?

The qualifications to get a data warehouse job differ by position and level of responsibility. To be a data entry worker or data clerk, you typically need a high school diploma and some technical competency, such as familiarity with spreadsheets or other simple data entry systems. To be a data warehouse architect or developer, you typically need a bachelor’s degree in information technology or computer science, and strong technical skills, including data analysis and programming in SQL and other database and server languages. Familiarity with proprietary software and hardware from companies such as Oracle is also important.

What are the key skills and qualifications needed to thrive as a data warehouse professional, and why are they important?

To excel as a Data Warehouse professional, you need a solid grasp of database design, ETL (extract, transform, load) processes, SQL, and data modeling, often supported by a degree in computer science or a related field. Familiarity with data warehouse tools such as Microsoft SQL Server, Oracle, Informatica, and cloud platforms like AWS Redshift or Google BigQuery is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret business requirements and collaborate with stakeholders. These competencies ensure accurate, scalable data solutions that drive informed business decisions.

What are the common challenges faced by professionals working in data warehouse roles, and how can they be addressed?

Professionals in Data Warehouse roles often encounter challenges such as integrating data from diverse sources, ensuring data quality and consistency, and optimizing query performance. Addressing these issues typically involves close collaboration with data engineers, database administrators, and business analysts to establish clear data governance standards and implement robust ETL (Extract, Transform, Load) processes. Staying up to date with the latest data warehousing technologies and regularly monitoring system performance also help in overcoming these challenges, resulting in more reliable and efficient data storage and retrieval.

What is the difference between Data Warehouse vs Data Analyst?

AspectData WarehouseData Analyst
Primary RoleStores and manages large volumes of data for analysisAnalyzes data to generate insights and reports
Required SkillsDatabase management, ETL processes, SQL, data modelingData analysis, visualization, SQL, Excel
Work EnvironmentData centers, cloud platforms, IT teamsBusiness units, analytics teams, reporting tools
Common CertificationsCertified Data Management Professional (CDMP), Microsoft Certified: Data Analyst AssociateMicrosoft Certified: Data Analyst Associate, Google Data Analytics Certificate

While a Data Warehouse focuses on storing and organizing data for analysis, a Data Analyst interprets that data to provide actionable insights. Both roles often collaborate but serve different functions within data management and analysis workflows.

Is data warehouse a good career?

A career as a data warehouse professional involves designing, developing, and maintaining data storage systems that support business intelligence and analytics. It requires skills in SQL, ETL processes, and familiarity with tools like Snowflake or Redshift. The role offers strong job growth, competitive salaries, and opportunities across various industries.

What does a data warehouse do?

A data warehouse is a system used by data warehouse professionals to store, organize, and analyze large volumes of structured data from multiple sources. It enables efficient querying and reporting, supporting business intelligence and decision-making processes. Data warehouse roles often require knowledge of database tools, ETL processes, and data modeling.

What skills are needed for data warehousing?

Data warehouse professionals need strong skills in SQL, data modeling, and ETL (Extract, Transform, Load) processes. Knowledge of database management systems, data integration tools, and familiarity with cloud platforms like AWS or Azure are also important. Additionally, analytical thinking and problem-solving skills are essential for designing efficient data solutions.

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

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

What cities in Arizona are hiring for Data Warehouse jobs?

Cities in Arizona with the most Data Warehouse job openings:

Infographic showing various Data Warehouse job openings in Arizona as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $117,280 per year, or $56.4 per hour.

Data Governance Manager

Globe Telecom, Inc.

Globe, AZ • On-site

Full-time

Re-posted 11 days ago


Job description

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description Job Description Summary
The Data Governance Manager is accountable in defining data policies that will govern data management procedures involving the specific business unit's data elements and requirements. He/she proactively ensures data quality is maintained and with data privacy compliance; collaborates cross functional data interfaces; and enables the Analytics Team to deliver relevant and accurate models and insights as well as drive action within the enterprise to ensure that data is available, usable, consistent and secure. Leads data issue resolution efforts, necessarily involved in systems and applications implementation, enhancement and migration owned by their particular business unit.

DUTIES AND RESPONSIBILITIES:

Process

  • Establish Data Governance Policies that covers the data lifecycle of their business unit stakeholder

  • Establish procedures for data security and privacy regulation compliance. This includes defining and assuring compliance to securing how data is collected, stored, accessed, shared, and used within the organization (ie Data Governance framework).

  • Define, Track and Manage Data Quality KPIs and consolidate across the enterprise

  • Implement controls and compliance metrics to reduce data issues and improve data quality

  • Develop evaluation methods, data profiling and establish data lineages to provide their specific internal customers with feedback and recommendations for improvements in data management and governance process, standards and guidelines

  • Design processes and relevant trainings as well as lead initiatives to ensure alignment of different data owners to data policies

Business

  • Report and escalate to the Data Governance Council data quality issues/improvements with corresponding recommendations on data management and governance strategies as recommended resolutions.

  • Collaborates with reporting and operational segments to ensure data quality standards are met, errors and root causes identified

  • Identify, prioritize and lead Enterprise-wide data governance initiatives to deliver substantial improvements in data quality, availability and usability across the enterprise

  • Plan, manage, monitor and communicate data policies, including data quality KPIs to stakeholders throughout the process.

  • Align data governance with strategic business objectives by ensuring that DG policies aligns with the organizations' goals and scorecard metrics (Core KPIs) and be able to prioritize critical measure including defining SLAs for issue resolutions depending on the significance of impacted stakeholders - customer, revenue, reporting and analytics.

People

  • Manage and drive teams to run and deliver initiatives designed to resolve data quality issues

  • Manage project risks and issues and manage stakeholder's expectations on initiatives started and follow through on benefits realizations.

  • Mentor team members and provide training as needed.

REQUIREMENTS:

Must Have:

  • 3-5 years of experience in SQL and Data Analysis.

  • 3 years of experience in any of Master Data, Data Quality, Data Integration

  • 3 years of experience with implementing or managing enterprise-scale data warehouse or data management projects - understanding data tools

  • 5 years of experience in working with data management teams

  • 3 years of enterprise scale data warehouse

  • Ability to understand the key drivers, dependencies and risks

  • Strong understanding of data tools (cleansing, master data management, metadata, etc.) and data quality policies and procedure

  • Meticulous attention to detail with an overall passion for discipline

  • Ability to understand and assess potential risk

  • Deep understanding of data governance, data management principles/processes

  • Bachelor's Degree in Computer Science, Computer Engineering, Information Systems or related degree

Nice To Have:

  • 3 years of experience managing people or leading project teams

  • 3 years of experience with implementing or managing enterprise-scale data warehouse or data management projects

  • Certification in relevant database and business intelligence

  • Understanding of billing, provisioning applications

Equal Opportunity Employer
Globe's hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
Globe's Diversity, Equity and Inclusion Policy Commitment can be accessed here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.