iStaff
Business Intelligence Architect
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This range is provided by iStaff. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $170,000.00/yr - $185,000.00/yr
Position Summary We are seeking a highly skilled and strategic Lead Business Intelligence Architect to drive the evolution of our enterprise analytics capabilities while implementing cutting‑edge AI‑powered solutions. This role combines deep technical expertise in Microsoft Azure data services with hands‑on experience deploying and optimizing Microsoft Copilot across the organization’s BI ecosystem.
In this position, you will architect and lead the implementation of modern, cloud‑native business intelligence solutions that leverage Azure’s full stack of analytics services. You will be responsible for integrating Microsoft Copilot capabilities into our data platform, enabling AI‑assisted analytics, natural language querying, and intelligent insights generation. Simultaneously, you will support and optimize our existing BI infrastructure, ensuring seamless performance while driving the strategic transformation toward an AI‑enhanced, cloud‑first analytics environment.
Strong communication skills are essential, as you will partner with business leaders, data consumers, and technical teams across departments. The ability to translate complex technical architectures and AI capabilities into clear business value propositions for non‑technical stakeholders is critical to success in this role.
Essential Functions/Responsibilities
Architect and implement enterprise‑scale business intelligence solutions in Microsoft Azure, leveraging Azure Synapse Analytics, Azure Data Factory, Power BI, Azure SQL, and related services.
Lead the deployment and optimization of Microsoft Copilot across the BI platform, including Copilot for Power BI, Copilot in Fabric, and custom Copilot solutions for analytics workflows.
Design and implement AI‑enhanced data architectures that enable natural language querying, automated insight generation, and intelligent data exploration.
Build and maintain scalable data models, semantic layers, and dimensional models optimized for both traditional BI and Copilot‑powered analytics.
Develop governance frameworks for AI‑assisted analytics, ensuring responsible use of Copilot features while maintaining data security and compliance.
Create and optimize complex Power BI solutions, including paginated reports, composite models, and direct query implementations with Copilot integration.
Design and implement advanced analytics pipelines using Azure Data Factory, Synapse Pipelines, and Azure Databricks to support both structured reporting and AI‑driven insights.
Establish BI standards, best practices, and design patterns for Copilot‑enabled analytics solutions across the organization.
Support and enhance existing SQL Server reporting infrastructure while executing migration strategies to cloud‑based, AI‑enabled platforms.
Partner with business stakeholders to identify opportunities for Copilot implementation, demonstrating value through proof‑of‑concepts and pilots.
Implement data quality frameworks, master data management strategies, and governance policies across hybrid BI environments.
Lead training and enablement initiatives to help business users leverage Copilot features effectively and responsibly.
Monitor and optimize performance of BI systems, Copilot queries, and Azure resources to ensure cost‑effectiveness and responsiveness.
Document BI architecture, Copilot implementation patterns, data lineage, and semantic models to support enterprise knowledge management.
Stay current with Microsoft Fabric, Copilot updates, Azure AI services, and emerging BI technologies, providing strategic recommendations for continuous improvement.
Troubleshoot and resolve complex issues across the BI stack, including SQL queries, DAX expressions, Python scripts, Power BI performance, and Copilot integration challenges.
Education and/or Experience
7+ years of experience in business intelligence architecture, data warehousing, or analytics engineering roles.
3+ years of hands‑on experience with Microsoft Azure data and analytics services (Azure Synapse, Data Factory, Databricks, Power BI Premium/Fabric).
Proven experience implementing Microsoft Copilot solutions in business intelligence environments (Copilot for Power BI, Copilot in Fabric, or custom Copilot development).
Deep expertise in Power BI architecture, including workspace management, deployment pipelines, Premium capacity optimization, and Fabric integration.
Strong background in dimensional modeling, star schema design, and semantic layer development for enterprise BI.
Extensive experience with SQL Server, including T‑SQL development, performance tuning, and SSAS (Tabular/Multidimensional).
Demonstrated success architecting and delivering cloud‑based BI platforms that replaced or augmented legacy systems.
Experience with Azure AI services integration into analytics workflows (Azure OpenAI, Cognitive Services, Machine Learning).
Proficiency in DAX, M (Power Query), T‑SQL, Python, and API development for BI solutions.
Hands‑on experience building data integration solutions using modern ETL/ELT tools and frameworks.
Experience with data governance tools and implementing security models (RLS, OLS) in Power BI and Azure.
Background working with business stakeholders to translate requirements into scalable BI architectures.
Experience in Construction, Real Estate, Property Management, or Financial Services industries is a plus.
Familiarity with Azure DevOps, CI/CD practices for BI deployments, and infrastructure as code (ARM templates, Bicep, Terraform).
Preferred Qualifications
Microsoft certifications: Azure Data Engineer Associate, Azure Solutions Architect, Power BI Data Analyst, or Fabric Analytics Engineer.
Experience with Microsoft Fabric and OneLake architecture.
Background implementing enterprise‑wide AI adoption and governance programs.
Knowledge of natural language processing (NLP) and large language model (LLM) implementations.
Experience with real‑time analytics, streaming data, and event‑driven architectures in Azure.
Familiarity with DataOps practices and modern data platform engineering approaches.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Information Technology
Industries Staffing and Recruiting
Referrals increase your chances of interviewing at iStaff by 2x.
Get notified about new Business Intelligence Architect jobs in
Dallas‑Fort Worth Metroplex .
#J-18808-Ljbffr
This range is provided by iStaff. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $170,000.00/yr - $185,000.00/yr
Position Summary We are seeking a highly skilled and strategic Lead Business Intelligence Architect to drive the evolution of our enterprise analytics capabilities while implementing cutting‑edge AI‑powered solutions. This role combines deep technical expertise in Microsoft Azure data services with hands‑on experience deploying and optimizing Microsoft Copilot across the organization’s BI ecosystem.
In this position, you will architect and lead the implementation of modern, cloud‑native business intelligence solutions that leverage Azure’s full stack of analytics services. You will be responsible for integrating Microsoft Copilot capabilities into our data platform, enabling AI‑assisted analytics, natural language querying, and intelligent insights generation. Simultaneously, you will support and optimize our existing BI infrastructure, ensuring seamless performance while driving the strategic transformation toward an AI‑enhanced, cloud‑first analytics environment.
Strong communication skills are essential, as you will partner with business leaders, data consumers, and technical teams across departments. The ability to translate complex technical architectures and AI capabilities into clear business value propositions for non‑technical stakeholders is critical to success in this role.
Essential Functions/Responsibilities
Architect and implement enterprise‑scale business intelligence solutions in Microsoft Azure, leveraging Azure Synapse Analytics, Azure Data Factory, Power BI, Azure SQL, and related services.
Lead the deployment and optimization of Microsoft Copilot across the BI platform, including Copilot for Power BI, Copilot in Fabric, and custom Copilot solutions for analytics workflows.
Design and implement AI‑enhanced data architectures that enable natural language querying, automated insight generation, and intelligent data exploration.
Build and maintain scalable data models, semantic layers, and dimensional models optimized for both traditional BI and Copilot‑powered analytics.
Develop governance frameworks for AI‑assisted analytics, ensuring responsible use of Copilot features while maintaining data security and compliance.
Create and optimize complex Power BI solutions, including paginated reports, composite models, and direct query implementations with Copilot integration.
Design and implement advanced analytics pipelines using Azure Data Factory, Synapse Pipelines, and Azure Databricks to support both structured reporting and AI‑driven insights.
Establish BI standards, best practices, and design patterns for Copilot‑enabled analytics solutions across the organization.
Support and enhance existing SQL Server reporting infrastructure while executing migration strategies to cloud‑based, AI‑enabled platforms.
Partner with business stakeholders to identify opportunities for Copilot implementation, demonstrating value through proof‑of‑concepts and pilots.
Implement data quality frameworks, master data management strategies, and governance policies across hybrid BI environments.
Lead training and enablement initiatives to help business users leverage Copilot features effectively and responsibly.
Monitor and optimize performance of BI systems, Copilot queries, and Azure resources to ensure cost‑effectiveness and responsiveness.
Document BI architecture, Copilot implementation patterns, data lineage, and semantic models to support enterprise knowledge management.
Stay current with Microsoft Fabric, Copilot updates, Azure AI services, and emerging BI technologies, providing strategic recommendations for continuous improvement.
Troubleshoot and resolve complex issues across the BI stack, including SQL queries, DAX expressions, Python scripts, Power BI performance, and Copilot integration challenges.
Education and/or Experience
7+ years of experience in business intelligence architecture, data warehousing, or analytics engineering roles.
3+ years of hands‑on experience with Microsoft Azure data and analytics services (Azure Synapse, Data Factory, Databricks, Power BI Premium/Fabric).
Proven experience implementing Microsoft Copilot solutions in business intelligence environments (Copilot for Power BI, Copilot in Fabric, or custom Copilot development).
Deep expertise in Power BI architecture, including workspace management, deployment pipelines, Premium capacity optimization, and Fabric integration.
Strong background in dimensional modeling, star schema design, and semantic layer development for enterprise BI.
Extensive experience with SQL Server, including T‑SQL development, performance tuning, and SSAS (Tabular/Multidimensional).
Demonstrated success architecting and delivering cloud‑based BI platforms that replaced or augmented legacy systems.
Experience with Azure AI services integration into analytics workflows (Azure OpenAI, Cognitive Services, Machine Learning).
Proficiency in DAX, M (Power Query), T‑SQL, Python, and API development for BI solutions.
Hands‑on experience building data integration solutions using modern ETL/ELT tools and frameworks.
Experience with data governance tools and implementing security models (RLS, OLS) in Power BI and Azure.
Background working with business stakeholders to translate requirements into scalable BI architectures.
Experience in Construction, Real Estate, Property Management, or Financial Services industries is a plus.
Familiarity with Azure DevOps, CI/CD practices for BI deployments, and infrastructure as code (ARM templates, Bicep, Terraform).
Preferred Qualifications
Microsoft certifications: Azure Data Engineer Associate, Azure Solutions Architect, Power BI Data Analyst, or Fabric Analytics Engineer.
Experience with Microsoft Fabric and OneLake architecture.
Background implementing enterprise‑wide AI adoption and governance programs.
Knowledge of natural language processing (NLP) and large language model (LLM) implementations.
Experience with real‑time analytics, streaming data, and event‑driven architectures in Azure.
Familiarity with DataOps practices and modern data platform engineering approaches.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Information Technology
Industries Staffing and Recruiting
Referrals increase your chances of interviewing at iStaff by 2x.
Get notified about new Business Intelligence Architect jobs in
Dallas‑Fort Worth Metroplex .
#J-18808-Ljbffr