Data Warehouse Architect

Link Technologies (LinkTechConsulting.com), a Las Vegas based IT consulting firm, is currently seeking a Data Warehouse Architect to join our team. Employer asks for I-9 information.

QUALIFICATIONS

Minimum eight (8) years of experience in data warehousing, business intelligence architecture, or enterprise data modeling.

Extensive hands-on experience with Microsoft SQL Server, including data warehouse design and schema development.

Proficient in cloud-based data warehousing platforms such as Azure Synapse and Snowflake.

Strong expertise in SSAS Tabular Models, with deep knowledge of DAX and MDX.

Demonstrated ability to design enterprise-level data models, including dimensional modeling using Kimball or Inmon methodologies.

Skilled in creating and maintaining technical architecture and design documentation.

Advanced SQL skills with a focus on performance optimization and query tuning.

Solid understanding of ETL processes and tools, including SSIS and Azure Data Factory.

PREFERRED

Familiarity with data governance frameworks, master data management, and data security best practices.

Experience integrating Power BI or other reporting tools with SSAS tabular models.

RESPONSIBILITIES

Define and maintain the enterprise data model, aligning it with business objectives and data strategy.

Design and implement data warehouse schemas (star, snowflake) in Microsoft SQL Server, ensuring performance, scalability, and maintainability.

Create and maintain architectural documentation, including data flow diagrams, data dictionary, schema designs, and design patterns.

Develop tabular models in SQL Server Analysis Services (SSAS) to support advanced analytics and reporting.

Collaborate with stakeholders, BI developers, data engineers, and business analysts to gather requirements and translate them into data architecture designs.

Ensure consistency and data integrity across source systems, staging layers, data marts, and reporting layers.

Lead and participate in data modeling, metadata management, and data quality initiatives.

Drive data architecture best practices, governance, and standards across the organization.

Provide technical leadership and mentorship to the data and analytics team.

Link Technologies is an equal opportunity employer. All qualified applicants will receive consideration for employment without discrimination based on race, color, religion, sex, gender identity/expression, sexual orientation, national origin, protected veteran status, disability, or any other factors protected by law.