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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 ...

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How much do data warehouse architect jobs pay per hour?

As of Jun 10, 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.

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

Medicaid Data Warehouse Architect

SIRITECH SOLUTIONS CORP

Austin, TX • On-site

$63.25 - $81.25/hr

Full-time

Posted yesterday

Job description

Job Summary:
SIRITECH SOLUTIONS CORP is seeking a Medicaid Data Warehouse Architect with extensive expertise in Medicaid claims and data management. The role involves designing and implementing enterprise Medicaid Data Warehouse solutions, developing data architecture, and supporting data governance initiatives.
Responsibilities:
• Design and implement enterprise Medicaid Data Warehouse solutions.
• Develop and maintain Medicaid data architecture aligned with Texas Data Management Framework (TDMF).
• Architect multi-terabyte integrated data hubs and analytics platforms.
• Develop enterprise Medicaid analytics and reporting strategies.
• Define enterprise data standards, policies, and governance frameworks.
• Create data models, architecture standards, and governed data structures.
• Design data acquisition, integration, and harmonization strategies.
• Support enterprise data governance initiatives.
• Develop metadata management and reference data management standards.
• Establish data quality frameworks, controls, and monitoring processes.
• Define systems of record and authoritative data sources.
• Support Master Data Management (MDM) initiatives.
• Perform root cause analysis on data quality and governance issues.
• Establish metrics for measuring data quality and metadata maturity.
• Serve as subject matter expert for Medicaid data domains including: Provider Claims, Encounters, Eligibility, Client Movements, Clinical Assessments, Healthcare Analytics.
• Support enterprise Medicaid reporting and performance management initiatives.
• Collaborate with business owners, data stewards, and analytics teams.
• Develop AI-assisted reporting and analytics strategies.
• Create standardized AI prompts and query templates.
• Validate AI-generated outputs and mitigate hallucination risks.
• Promote AI-driven analytics adoption across business units.
• Evaluate emerging AI and data technologies.
• Partner with executives, program leadership, architects, and data governance teams.
• Drive adoption of enterprise data management best practices.
• Lead initiatives supporting data-driven organizational transformation.
• Communicate technical concepts to executive and non-technical audiences.
• Build business cases supporting enterprise MDM and analytics initiatives.
Qualifications:
Required:
• 15+ years of Data Architecture experience.
• 8+ years of experience building and maintaining Medicaid Data Warehouses (Mandatory).
• Extensive experience with Medicaid Claims Data.
• Extensive experience with Provider Data.
• Extensive experience with Encounter Data.
• Extensive experience with Eligibility Data.
• Extensive experience with Clinical Assessment Data.
• Strong expertise in Enterprise Data Architecture.
• Strong expertise in Data Governance.
• Strong expertise in Data Quality.
• Strong expertise in Metadata Management.
• Strong expertise in Reference Data Management.
• Strong expertise in Master Data Management (MDM).
• Experience designing enterprise data acquisition and integration solutions.
• Experience developing Data Warehouse and Performance Management systems.
• Experience leading enterprise data strategy initiatives.
• Experience implementing data quality standards and controls.
• Strong knowledge of healthcare and insurance business domains.
• Experience creating enterprise data standards and governance policies.
• Excellent communication, stakeholder management, and leadership skills.
• Proven ability to work with both technical and business stakeholders.
• Austin, TX Local Candidates Only.
• Face-to-Face Interview Required.
• Medicaid domain expertise is mandatory.
• Candidates without Medicaid Data Warehouse architecture experience will not be considered.
Preferred:
• Cloud Data Architecture (Azure, AWS, GCP).
• Healthcare Analytics Platforms.
• AI-Assisted Analytics and Reporting.
• Enterprise Data Catalog Solutions.
• Data Fabric or Data Mesh Architecture.
• Medicaid Modernization Programs.
• Public Sector Healthcare Systems.
• Master's Degree Preferred.
• Certified Data Management Professional (CDMP) DAMA (Highly Preferred).
• TOGAF Certification preferred.
• Azure Data Architect Certification preferred.
• AWS Data Analytics Certification preferred.
• DAMA Data Governance Certification preferred.
Company:
SiritechSolutions Corp (“Siritech”) is an IT professional services firm providing expertise to empower clients’ businesses. Founded in 2023, the company is headquartered in Tampa, Florida, US, , with a team of 51-200 employees. The company is currently Growth Stage.

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