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Data Warehouse Jobs (NOW HIRING)

E-Solutions

Data Warehouse Architect

Lansing, MI · On-site

Data Warehouse Architect Location : Lansing, MI Duration : 1 year with possible extension Interview Process: Virtual Interview via MS Teams. Work Mode: Position will be hybrid, in office 2 days a ...

TekWissen

Tivoli Data Warehouse

Phoenix, AZ

Tool support forTivoli Data Warehouse (TDW) in support of global transition in all new data centers Qualifications Tool support forTivoli Data Warehouse (TDW) in support of global transition in all ...

Prolim Global

Data Warehouse Architect

Lansing, MI · On-site

Prolim is hiring for a Data Warehouse Architect for a leading client Location: Lansing, MI (Hybrid) Hybrid schedule: Required onsite days- Wednesdays and Thursdays Contract: Long term Job ...

Huntington

Data Warehouse Sr. Manager

Columbus, OH · On-site +1

Huntington Bank is looking for a data warehouse leader in our Data Technology organization. In this role you will lead a team of 12-15 dedicated to pushing the limits of continuous improvement and ...

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$25K

$125.9K

$171K

How much do data warehouse jobs pay per year?

As of Jul 7, 2026, the average yearly pay for data warehouse in the United States is $125,852.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $160,000.00 per year, depending on experience, location, and employer.

What are data warehouse jobs?

Data warehouse jobs involve designing, developing, and maintaining data storage systems that integrate and organize large volumes of data for analysis and reporting. These roles typically require skills in SQL, data modeling, and familiarity with tools like ETL processes and data warehouse platforms such as Amazon Redshift or Snowflake. Professionals in this field support business intelligence and decision-making processes by ensuring data accuracy and accessibility.

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 is the highest paying job in a warehouse?

In a data warehouse environment, the highest paying roles are typically data warehouse architects and senior data engineers, who design and manage complex data systems. These positions often require advanced skills in SQL, ETL tools, and cloud platforms, and they can command salaries significantly higher than entry-level data analysts or support staff.

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 warehousing a good career?

Data warehousing is a viable career path involving designing, building, and maintaining large-scale data storage systems. It requires skills in SQL, ETL processes, and tools like Snowflake or Redshift, with demand driven by data-driven decision-making across industries.

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 are data warehouses?

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 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 analysts and engineers often work with tools like SQL and ETL processes to maintain and utilize data warehouses.

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.

More about Data Warehouse jobs
What cities are hiring for Data Warehouse jobs? Cities with the most Data Warehouse job openings:
What are the most commonly searched types of Data Warehouse jobs? The most popular types of Data Warehouse jobs are:
What states have the most Data Warehouse jobs? States with the most job openings for Data Warehouse jobs include:
Data Warehouse jobs near you
Infographic showing various Data Warehouse job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $125,852 per year, or $60.5 per hour.
Data Warehouse Architect

Data Warehouse Architect

Carman Solutions Group

Austin, TX • On-site

Contractor

Posted 3 days ago

Job description

Job Title: Data Warehouse Architect
Location: Austin, TX (Hybrid)
Duration: 6-12 Months
Job Description:
• Supports the installation of database software and migrations to new data management system software levels, and tests the migrations to ensure data reliability and functionality.
• Analyzes, designs, modifies, and maintains database structures.
• Designs and implements procedures necessary to save, retrieve, and recover databases from hardware and software failures.
• Establishes and implements database security controls and user access levels.
• Evaluates and recommends database software packages for potential acquisition.
• Prepares and develops database documentation, procedures, and definitions for data dictionaries.
• Performs logical and physical data modeling, designs relational database models, and creates physical data models from logical data models.
• Performs database performance monitoring and implements efficiency improvements.
• Assists in modifying existing databases and database management systems.
• Assists in developing standards, guidelines, policies, and procedures designed to ensure the integrity of the database environment.
Required Skills:
• 5 years of strong knowledge of database management systems, as well as data warehouse management and decision support tools
• 5 years of extensive experience in the development, implementation and maintenance of data warehouses and data marts is desired
• 5 years of experience in business objects and in building the data dictionary
• 5 years of experience ability to use data base access tools for application delivery
• 5 years of experience with strong familiarity with analysis, planning and management reporting functions
• 5 years experience with well-developed oral and written communications skills
• 5 years of strong teamwork and interpersonal skills
• 5 years of extremely high level of analytical ability where problems are very unusual and extremely difficult
• 5 years of understanding of benchmarking processes and techniques
• 5 years of very high level of interpersonal skills to work effectively with others, motivate employees, and elicit work output
• 5 years of Data Warehousing data population and data modeling techniques for target structures such as Star Schemas, Snowflake Schemas, and highly normalized data models
• 5 years of GUI based ETL tools such as Informatica, IBM WebSphere DataStage, or similar tools.
• 5 years of implementation experience with enterprise-class databases, e.g., Teradata, Oracle, SQL Server, etc., or similar technologies. Teradata, Oracle, SQL Server, etc. or similar technologies.
• 5 years of Implementation experience with analytical and reporting tools e.g. Business Objects, Cognos, Hyperion, MicroStrategy or similar tools.
• 5 years of experience with the data warehouse implementation process, from business requirements through logical modeling, physical database design, data sourcing and data transformation, data loading, Structured Query Language (SQL), end-user tools, database and SQL.
• 5 years of Implementation experience with analytical and reporting tools e.g. Business Objects, Cognos, Hyperion, MicroStrategy or similar tools.
• 5 years with excellent analytical, problem-solving, team-playing, and oral and written communication skills.
• 5 years of proven ability to work successfully with technical and non-technical groups and manage multiple responsibilities.
Preferred Skills:
• 5 years of Oracle Database experience.
• 5 years with SSRS report creation.
• 1 year with M204 database experience.
 
Regards,
Himanshu Rawat
himanshu@carmansg.com