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Bi Architect Jobs (NOW HIRING)

Paradigminfotech

DW BI Architect

Harrisburg, PA · On-site

... BI Data Architecture Design 4) Please describe years of experience with implementing data warehouse solutions with HANA , Oracle , Teradata ..databases ? 5) Please describe your design and ...

Resource Point LLC

Enterprise Power BI Architect

Boston, MA · On-site

$75 - $96.75/hr

Enterprise Power BI Architect Location: Boston, MA Duration: 6 months Principle Responsibilities: * Planning and Building an Enterprise Power BI Environment. * Environment Planning and Design:

Tech Tammina LLC

Data / BI Architect

Pontiac, MI · On-site

$63.25 - $81.50/hr

Role: Data / BI Architect Location: Pontiac, MI Work Schedule: Hybrid On-site/Remote (This is a hybrid role and will require someone in office 2 days per week) Duration: 12 Months+ Rate: Market

Jobsbridge

BI Architect/Manager

San Ramon, CA

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 ...

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Bi Architect information

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How much do bi architect jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for bi architect in the United States is $69.93, according to ZipRecruiter salary data. Most workers in this role earn between $59.13 and $78.85 per hour, depending on experience, location, and employer.

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.

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.

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 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.
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Bi Architect jobs near you
Infographic showing various Bi Architect job openings in the United States as of May 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $145,445 per year, or $69.9 per hour.
Data Engineer-BI Architect

Data Engineer-BI Architect

Ring Container Technologies

Oakland, TN • On-site

Full-time

Posted 4 days ago

Ring Container Technologies rating

7.9

Company rating: 7.9 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

28th of 109 rated packaging manufacturers

Job description

Position Overview
The Data Engineer - Business Intelligence Architect is a hands-on technical leader responsible for end-to-end ownership of the enterprise data pipeline and analytics layer. This includes ingesting and transforming raw data, and designing, building, and optimizing enterprise analytics solutions. This role combines deep technical execution with architectural ownership, modern data modeling, and advanced analytics.
The role bridges data engineering and business intelligence architecture, ensuring that data is not only available and reliable, but also well-modeled, governed and consumable for decision making across the organization.
Key Responsibilities
  • Design, build, and maintain end-to-end BI and analytics solutions, data engineering pipelines, semantic models, and BI tools.
  • Provide hands-on support for the existing analytics environment (SQL Server, SSIS, SSAS, SSRS, Power BI) while planning and executing phased migrations to new platform.
  • Balance run-the-business BI support with platform modernization initiatives.
  • Identify, prioritize, and refactor legacy BI assets for migration or coexistence with new platform solutions.
  • Serve as a technical lead, actively contributing code while collaborating on architectural direction and best practices.
  • Architect and optimize data ingestion, transformation, and orchestration pipelines.
  • Build and maintain enterprise semantic layers and dimensional models.
  • Mentor BI developers through hands-on guidance, code reviews, and technical coaching.
  • Diagnose and resolve performance, reliability, and data quality issues across legacy and Fabric platforms.

Required Skills & Qualifications
  • Strong analytical and systems thinking mindset
  • Ability to translate business questions into scalable data and BI solutions
  • Expert-level experience designing and building enterprise BI solutions.
  • Hands-on experience with Microsoft Fabric or Databricks and hybrid BI architecture.
  • Strong proficiency in SQL Server, SSIS, SSAS, SSRS, and Power BI.
  • Advanced SQL development and performance tuning skills.
  • Deep understanding of data warehousing, lakehouse architecture, and dimensional modeling.
  • Exposure to ERP systems and complex enterprise data environments.
  • Strong communication skills and ability to work directly with business stakeholders.

Preferred / Plus Qualifications
  • Python skills for analytics, automation, and data processing.
  • Experience with machine learning or predictive analytics in a BI context.
  • Experience with Microsoft Fabric
  • Familiarity with modern ML frameworks and model integration.
  • Experience with Azure-based analytics services and enterprise data integration.

Education & Experience
  • Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
  • 7+ years of experience in BI, analytics, or data platform development.
  • 3+ years in a senior, lead, or architect-level role with significant hands-on responsibilities.

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