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Business Intelligence Architect Jobs (NOW HIRING)

Business Intelligence Architect

Malta, NY · On-site

$124K - $208K/yr

The Business Intelligence Architect leads the strategy, governance, delivery, and adoption of enterprise business intelligence and analytics capabilities across global corporate and manufacturing ...

The Business Intelligence (BI) Architect will be part of the CMM Data Modernization and Governance team responsible for delivering an integrated data governance, engineering, data platform, reporting ...

Drive the end-to-end technical, functional and process architecture, establishing thought-leadership with the client and serving as program architect from small to large business intelligence ...

Drive the end-to-end technical, functional and process architecture, establishing thought-leadership with the client and serving as program architect from small to large business intelligence ...

CT · On-site

Business Intelligence Architect/Developer Location : Remote Duration: 2 months Support development of technical solutions to meet demands of CT DDS modernization This candidate will design and ...

Translate Unstructured Complex Business Problems Into Well-Defined Processes : Ensures that the ... Circana uses artificial intelligence (AI) to assess resumes for alignment with job requirements by ...

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Business Intelligence Architect information

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$28

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How much do business intelligence architect jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for business intelligence 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 is a business intelligence architect?

A Business Intelligence Architect is a professional responsible for designing, developing, and maintaining systems that collect, store, and analyze data to support business decision-making. They create data models, select appropriate tools, and ensure that data flows efficiently across the organization. BI Architects work with stakeholders to understand business needs and translate them into technical solutions that provide actionable insights. Their role is crucial in helping companies leverage data to drive strategy and improve performance.

How does a business intelligence architect typically collaborate with data engineers and business stakeholders?

A Business Intelligence Architect acts as a bridge between technical teams and business stakeholders. They work closely with data engineers to design and optimize data pipelines and ensure data models align with business reporting needs. At the same time, they gather requirements from business users, translate them into technical specifications, and guide the development of dashboards and analytics solutions. Regular communication and collaborative problem-solving are essential to ensure that BI solutions deliver actionable insights and meet organizational goals.

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

To thrive as a Business Intelligence Architect, you need expertise in data modeling, database design, and analytics, typically supported by a degree in computer science, information systems, or a related field. Familiarity with BI tools like Power BI, Tableau, and SQL Server, as well as certifications such as Microsoft Certified: Data Analyst Associate, is highly valuable. Strong problem-solving abilities, communication skills, and business acumen help bridge technical solutions with organizational needs. These skills ensure effective data-driven decision-making and the successful design and implementation of BI solutions.

What is the difference between Business Intelligence Architect vs Data Warehouse Developer?

AspectBusiness Intelligence ArchitectData Warehouse Developer
CredentialsTypically requires a bachelor’s degree in IT, Computer Science, or related field; certifications like CBIP or Microsoft BI certifications are common.Requires a bachelor’s degree in Computer Science, Information Systems, or related; certifications like CDW or Microsoft SQL certifications are often preferred.
Work EnvironmentDesigns BI solutions, collaborates with stakeholders, and oversees BI projects in enterprise settings.Develops and maintains data warehouses, ETL processes, and database schemas primarily in data-focused teams.
Industry UsageUsed across industries for strategic decision-making and reporting architecture.Primarily used in data-intensive industries for data storage and processing.

The Business Intelligence Architect focuses on designing and overseeing BI systems and strategies, while the Data Warehouse Developer specializes in building and maintaining the data infrastructure that supports BI solutions. Both roles require technical expertise and often collaborate closely within data teams.

More about Business Intelligence Architect jobs

What cities are hiring for Business Intelligence Architect jobs?

Cities with the most Business Intelligence Architect job openings:

What states have the most Business Intelligence Architect jobs?

States with the most job openings for Business Intelligence Architect jobs include:

Infographic showing various Business Intelligence Architect job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $145,445 per year, or $69.9 per hour.

Business Intelligence Architect

Globalfoundries

Malta, NY • On-site

$124K - $208K/yr

Full-time

Posted 22 days ago


Key responsibilities

  • Lead the strategy, governance, delivery, and adoption of enterprise business intelligence and analytics capabilities.

  • Own and manage Microsoft Fabric and Power BI platforms, including architecture, governance, security, and operational excellence.

  • Drive modernization of legacy analytics environments through cloud-first architectures and platform consolidation.


GlobalFoundries rating

8.3

Company rating: 8.3 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

67th of 545 rated manufacturers


Job description

About GlobalFoundries:

GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world's most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.

Summary of Role:

The Business Intelligence Architect leads the strategy, governance, delivery, and adoption of enterprise business intelligence and analytics capabilities across global corporate and manufacturing organizations. This role is responsible for enabling data-driven decision making at scale through the modernization of enterprise analytics platforms, development of self-service capabilities, and deployment of AI-powered business intelligence solutions.

Serving as a strategic partner to executive leadership, the role drives enterprise transformation through Microsoft Fabric, Power BI, Microsoft 365 Copilot, Copilot for Power BI, and related technologies. The position balances business strategy, technology leadership, organizational change management, and talent development to deliver measurable business value while establishing scalable, governed, and secure analytics ecosystems.

Essential Responsibilities:

  • Be a technical lead on a global team responsible for business intelligence development, analytics engineering, and reporting platforms supporting manufacturing, supply chain, finance, HR, commercial operations, engineering, and corporate functions.
  • Foster a culture of innovation, continuous improvement, operational excellence, and data-driven decision making across the enterprise.
  • Own Microsoft Fabric and PowerBI platforms for the enterprise, including platform strategy, architecture, governance, security, adoption, and operational excellence.
  • Drive modernization of legacy analytics environments through cloud-first architectures, platform consolidation, and technical debt reduction initiatives.
  • Establish enterprise governance frameworks for reporting standards, semantic models, data visualization, and citizen development programs.
  • Lead enterprise adoption of self-service analytics by developing reusable semantic models, training programs, and enablement frameworks.
  • Influence organizational change management efforts to increase adoption of new technologies, analytics platforms, and AI-powered capabilities.

Other Responsibilities:

  • Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.

Required Qualifications:

  • Proven success partnering with globally distributed technical teams and cross-functional transformation initiatives.
  • Strong executive stakeholder management and strategic consulting capabilities.
  • Experience influencing decisions across multiple business units and functions.
  • Strong change management, communication, coaching, and talent development skills.
  • Ability to build high-performing teams and scale organizational capabilities.
  • Expertise in enterprise business intelligence, analytics architecture, reporting, and performance management.
  • Experience designing and governing enterprise self-service analytics ecosystems.
  • Strong knowledge of data modeling, semantic layer design, KPI frameworks, and analytics governance.
  • Experience supporting large-scale global user communities with diverse analytics needs.

Technology and Platform Experience

  • Microsoft Power BI and Fabric Capacity Management, QlikView
  • Semantic Models, Dataflows
  • Enterprise Reporting Platforms
  • Analytics Governance Frameworks
  • Microsoft 365 Copilot, Copilot Studio
  • Copilot for Power BI, Microsoft Fabric Data Agents
  • Familiarity with ETL/ELT Frameworks, Cloud Data Warehousing Technologies
  • SQL

Preferred Qualifications

  • 7+ years in a technical leadership role with proven experience in business intelligence development, design, performance tuning and optimization
  • Bachelor's degree in Information Systems, Computer Science, Engineering, Data Analytics, Business, or a related field.
  • Advanced degree in Business Administration, Data Science, Analytics, Information Technology, or a related discipline preferred.
  • Experience leading enterprise-scale business intelligence, analytics, data platform, and transformation programs.
  • Experience within global manufacturing, semiconductor, technology, or industrial organizations.
  • Demonstrated success implementing Microsoft Fabric, Power BI, enterprise cloud analytics platforms, and AI enablement initiatives.
  • Experience establishing enterprise governance models for analytics, AI, and self-service data platforms.
  • Industry certifications related to Microsoft Fabric, Power BI, Azure, AI, data architecture, or enterprise technology leadership.

Expected Salary Range

$124,000.00 - $208,000.00

The exact Salary will be determined based on qualifications, experience and location.

If you need a reasonable accommodation for any part of the employment process, please contact us by email at usaccommodations@gf.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

An offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations.

GlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory.

All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law


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