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Bi Architect Jobs in California (NOW HIRING)

Aptino

Power BI Architect

Burbank, CA · On-site

Power BI Architect Location: Burbank, CA (Onsite) Duration: 12 Months We are seeking an experienced Power BI Architect to lead and support enterprise reporting and analytics initiatives, with a ...

Jobsbridge

BI Architect/Manager

San Ramon, CA · On-site

Company Description Intelliswift Software, Inc This role will be focused around Enterprise BI (Reporting and Analytics) with an emphasis on OBIEE. This role will also have to have a solid foundation ...

Aprio

Business Intelligence Architect

Los Angeles, CA · On-site

Lead Aprio's adoption of Power BI Copilot and Microsoft Fabric AI features, including AI-generated report summaries, smart narratives, and anomaly detection * Design semantic models and data products ...

Atria Group LLC

MSBI Architect

Palo Alto, CA

... server architecture, object-oriented programming languages and tools, distributed database ... Strong understanding of entire Microsoft DW/BI tool stack including some of the emerging ...

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$69

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How much do bi architect jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for bi architect in California is $69.01, according to ZipRecruiter salary data. Most workers in this role earn between $58.37 and $77.84 per hour, depending on experience, location, and employer.

What is a BI Architect?

A business information (BI) architect helps design business and management architecture, which is a way to organize data and information to provide insights into efficiency, productivity, and business systems. Your duties as a BI architect are to design a system that analyzes the data gathered by other BI analysts. Managers and executives then use your framework to determine solutions or new strategies for conducting business. Qualifications for a career as a BI architect include a bachelor’s degree in computer science, statistics, or data science, experience in business analytics, and strong analytical skills.

What is a BI Architect?

A BI Architect, or Business Intelligence Architect, is a professional responsible for designing, developing, and managing the overall architecture of business intelligence systems within an organization. They create frameworks for data integration, storage, analysis, and reporting to help organizations make data-driven decisions. BI Architects work closely with stakeholders to understand business needs and translate them into technical solutions, ensuring that data flows efficiently and securely throughout the organization.

How does a BI Architect typically collaborate with other departments to deliver effective business intelligence solutions?

A BI Architect works closely with stakeholders from various departments, such as IT, finance, marketing, and operations, to understand their data needs and translate them into technical requirements. They often lead or participate in cross-functional project teams, ensuring that data models, warehouses, and reporting tools align with business goals. Regular communication and collaboration are essential, as BI Architects must gather feedback, adjust solutions, and provide training or support to end-users. This collaborative approach ensures that BI solutions are both technically sound and truly valuable to the organization.

What are the key skills and qualifications needed to thrive as a BI Architect, and why are they important?

To thrive as a BI Architect, you need expertise in data modeling, database design, and business intelligence solutions, typically supported by a degree in computer science or a related field. Familiarity with BI tools like Power BI, Tableau, or Qlik, as well as proficiency in SQL and data warehousing platforms, is essential, and certifications such as Microsoft Certified: Data Analyst Associate are often beneficial. Strong analytical thinking, problem-solving abilities, and effective communication skills help you translate business requirements into technical solutions. These skills ensure the delivery of robust, scalable BI systems that drive data-driven decision-making across organizations.

What is the difference between Bi Architect vs Data Engineer?

AspectBi ArchitectData Engineer
Required CredentialsBachelor's in Computer Science or related, often certifications in BI toolsBachelor's in Computer Science, Data Science, or related, with certifications in data processing
Work EnvironmentDesigns and manages BI solutions, collaborates with business teamsBuilds data pipelines, manages data infrastructure, works with large datasets
Industry UsageUsed in organizations focusing on reporting and analyticsUsed across industries for data processing and infrastructure

Bi Architects focus on designing and implementing business intelligence solutions, while Data Engineers build and maintain the data infrastructure that supports these solutions. Both roles require technical skills and often overlap, but Bi Architects are more client-facing and strategic, whereas Data Engineers are more technical and infrastructure-focused.

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Bi Architect jobs near you
Infographic showing various Bi Architect job openings in California 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 $143,540 per year, or $69 per hour.

Power BI Architect

Burbank, CA • On-site

Aptino
IT Services • 51 - 200 employees
Learn more about Aptinoexternal

Other

Posted 4 days ago

Job description

Role: Power BI Architect

Location: Burbank, CA (Onsite)
Duration: 12 Months

Job Description:

We are seeking an experienced Power BI Architect to lead and support enterprise reporting and analytics initiatives, with a primary focus on Power BI report migration, architecture, development, and optimization. The ideal candidate will have strong expertise in Power BI, data modeling, SQL, ETL, and cloud data platforms, along with experience migrating reports from legacy BI platforms such as Tableau.

Responsibilities:
  • Lead and execute Power BI report migration projects, including migration from Tableau and other legacy BI platforms.
  • Design and implement scalable Power BI architecture, reporting solutions, dashboards, and analytical applications.
  • Develop complex Power BI reports, dashboards, semantic models, DAX measures, and Power Query transformations.
  • Analyze existing reports and translate business and technical requirements into optimized Power BI solutions.
  • Perform data validation, reconciliation, and quality checks during and after report migration.
  • Design and optimize data models, including dimensional modeling, star schemas, and semantic models.
  • Work with SQL Server, Snowflake, Azure, and other enterprise/cloud data platforms to develop reliable reporting solutions.
  • Develop and optimize SQL queries for data extraction, transformation, validation, and reporting.
  • Collaborate with data engineering and business teams on ETL processes, data warehousing, and data integration.
  • Establish Power BI development standards, best practices, governance, performance optimization, and deployment processes.
  • Troubleshoot report, data, refresh, performance, and connectivity issues.
  • Support Agile delivery methodologies, SDLC processes, testing, deployment, and production releases.
  • Collaborate with stakeholders, developers, data engineers, and business users to ensure successful delivery of analytics solutions.
Required Qualifications:
  • Strong experience in Power BI development and architecture, including Reports, Dashboards, DAX, Power Query, and semantic modeling.
  • Strong experience with Power BI report migration, preferably from Tableau or other BI platforms.
  • Strong SQL and data analysis skills.
  • Experience with data validation, reconciliation, and testing methodologies.
  • Strong understanding of Data Warehousing, ETL, dimensional modeling, and data architecture concepts.
  • Experience with Azure, Snowflake, SQL Server, or other cloud/enterprise data platforms.
  • Knowledge of Power BI performance optimization, data modeling, security, and deployment best practices.
  • Familiarity with Agile methodologies and SDLC processes.
  • Strong analytical, troubleshooting, communication, and stakeholder management skills.

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