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Data Warehouse Architect Jobs (NOW HIRING)

Global IT Family

Data Warehouse Architect

Lansing, MI · On-site

Data Warehouse Architect Location: Lansing, MI Duration: 12+ Months Hybrid Need only locals. Responsibilities and Technical Skills Develop, enhance, and optimize ETL pipelines using IBM DataStage ...

EmergencyMD

Data Warehouse Architect

Lansing, MI · On-site

$120 - $160/hr

Data Warehouse Architect 3 Job Location: Lansing, MI (Hybrid) Job Type: Contract / Requirement * 8+ years of experience with Teradata Database Administration * Strong experience with Teradata Tools ...

New

FastTek

Data Warehouse Architect

Lansing, MI

Data Warehouse Architect #1061085 Job Responsibilities: * Responsible for complex Common Batch Framework and Common Scheduler to ensure current and reliable data is available for critical business ...

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 ...

CareOregon

IS Data Warehouse Architect III

Portland, OR · On-site +1

IS Data Warehouse Architect III This position performs data warehouse architecture or enterprise data architecture at a senior level. Essential responsibilities are focused on design and development ...

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How much do data warehouse architect jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data warehouse architect in the United States is $65.82, according to ZipRecruiter salary data. Most workers in this role earn between $57.21 and $76.44 per hour, depending on experience, location, and employer.

What is a data warehouse architect?

Data warehouse architects design and maintain data management solutions. As a data warehouse architect, your job duties include analyzing your company’s data needs, developing database management solutions, and deploying data management software for storing and retrieving data from cloud or machine storage. In your daily work, you use software and databases such as Oracle, SQL, Java, J2EE, or Cognos. You need strong analytical and technical skills along with the ability to see the bigger picture regarding data needs to succeed in data warehouse architect jobs.

Are data warehouse architects in high demand?

Data warehouse architects are in high demand due to the increasing need for organizations to manage large volumes of data efficiently. They typically require expertise in database design, ETL processes, and tools like SQL, cloud platforms, and data modeling. The role offers strong job growth prospects across various industries focused on data-driven decision making.

What is the difference between Data Warehouse Architect vs Data Engineer?

AspectData Warehouse ArchitectData Engineer
CredentialsTypically requires a degree in Computer Science or related field, with certifications like AWS Certified Data Analytics or Microsoft Certified: Azure Data EngineerSimilar credentials, often with certifications in cloud platforms and programming languages
Work EnvironmentDesigns and plans data warehouse solutions, collaborates with architects and business teamsBuilds, maintains, and optimizes data pipelines and infrastructure
Industry UsageCommonly employed in organizations with large-scale data storage needsWorks across industries to develop data processing systems

The Data Warehouse Architect focuses on designing the overall data storage solutions, while the Data Engineer implements and maintains the data pipelines. Both roles require similar skills and certifications but differ in their primary responsibilities within data management projects.

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

To thrive as a Data Warehouse Architect, you need deep expertise in data modeling, database design, ETL processes, and a strong understanding of data warehousing concepts, typically supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Python, ETL platforms (like Informatica or Talend), and cloud data warehousing solutions (such as Amazon Redshift or Snowflake) is crucial, and certifications in these technologies are often beneficial. Strong analytical thinking, problem-solving abilities, and effective communication skills help you bridge business requirements with technical solutions and collaborate across teams. These skills and qualities are essential for designing scalable, reliable data architectures that enable informed decision-making and support organizational growth.

What is a data warehouse architect?

A Data Warehouse Architect is a specialized IT professional responsible for designing, building, and maintaining an organization's data warehouse systems. They create the architecture that allows large volumes of data to be collected, stored, and accessed efficiently for analysis and reporting. Data Warehouse Architects work with stakeholders to understand business requirements, choose appropriate database technologies, and ensure data integrity and security. Their role is critical for enabling data-driven decision making within an organization.

How does a data warehouse architect typically collaborate with data engineers and business analysts during a project?

A Data Warehouse Architect works closely with data engineers to design and implement the underlying data infrastructure, ensuring that data flows efficiently from various sources into the warehouse. They also partner with business analysts to understand reporting needs and translate business requirements into technical specifications. Regular meetings and documentation help ensure alignment across teams, and the architect often guides both groups on best practices for data modeling and integration. This collaboration is key to delivering scalable, user-friendly data solutions that meet organizational goals.
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Data Warehouse Architect jobs near you
Infographic showing various Data Warehouse Architect job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $136,908 per year, or $65.8 per hour.

Data Warehouse Architect

Microgreen Technologies LLC

Lansing, MI • On-site

Other

Posted 10 days ago

Job description

Role: Data Warehouse Architect
Work Location:  Lansing, MI (Hybrid)
Job Responsibilities:
• Responsible for complex Common Batch Framework and Common Scheduler to ensure
current and reliable data is available for critical business processes and decision
making.
• Responsible for Data Warehouse change management infrastructure and all promotions
of code and ddl; performing build engineer tasks for both manual and automated
promotion processes.
• Responsibility for complex Linux security model on DW ETL servers. (Servers are
administered by another group, but our team is responsible for the security structure and
authorizes user access to the groups and sudos)
• Responsibility for Teradata security and access.
• Conduct data architecture reviews and audits to ensure alignment with enterprise
standards
• Create and maintain comprehensive documentation of data architecture, processes, and
solutions
• Responsible for providing support for escalated Data Warehouse issue troubleshooting
and resolution.
• Evaluate and recommend new data technologies and tools to improve performance and
scalability
• Ensure data quality, accuracy, and effective use of enterprise data assets
• Manage and support data integration processes, including ETL workflows across multiple
systems
• Collaborate with external vendors and third-party service providers as needed
• Support patch management, system upgrades, and ongoing system maintenance
• Monitor system performance and troubleshoot technical issues across data platforms
• Perform data profiling and implement data quality rules for assessment and validation
• Execute data cleansing and standardization using both built-in and custom data rules
• Develop and maintain disaster recovery and backup strategies for data systems
• Lead efforts to migrate data warehouse processes to standardized/common frameworks
• Conduct elevated access reviews and user audits to ensure compliance
• Identify and remediate audit findings related to data systems and security
Required Qualifications:
• 8+ years Teradata experience – top requirement
• Experience supporting the loading of data from multiple source systems
• Ability to provide targeted training and technical guidance to development teams for
troubleshooting and batch support
• Minimum of 5 years of Linux experience
• Proven ability to work both independently and collaboratively within a team environment
• Strong problem-solving and analytical thinking skills, particularly in troubleshooting
complex data and system issues
• Strong communication skills with the ability to translate complex technical concepts to
both technical and non-technical stakeholders
Preferred Qualifications:
• Previous government experience or State of Michigan experience
• Experience with cloud-based BI tools
• Experience with cloud-native platforms ( AWS, Google Cloud Platform, or Azure ) preferred.

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