Business Intelligence Architect Jobs
Business Intelligence Architect jobs are open across finance, healthcare, retail, and technology, from mid-level to principal and staff architect, with specializations in data modeling, enterprise analytics, and cloud BI platforms. See the openings below and apply to the ones that match your experience.
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Showing 5 of 49+ Business Intelligence Architect jobs
Job Title: Application Architect – Data & Analytics (Power BI, Azure Data Factory & Databricks)
Duration: 12 months(37.5 hrs per week)
Location: 2 Broadway, NYC - 100% Onsite
Pay rate: $75/hr on C2C
Position Summary
The Application Architect will design and support enterprise data, analytics, and cloud solutions, with a focus on Power BI, Azure Data Factory, Databricks, and cloud platforms. The role provides technical leadership across business intelligence, data engineering, analytics, and AI initiatives.
Required Qualifications
- 10+ years of experience in enterprise applications, data, analytics, or solution architecture.
- Strong hands-on Power BI experience, including dashboards, DAX, semantic models, and workspace administration.
- Strong experience with Azure Data Factory, including ETL/ELT pipelines and data integration.
- Hands-on experience administering and supporting Databricks.
- Experience managing cloud resources in Azure, AWS, and GCP.
- Strong knowledge of data warehouses, data lakes, dimensional modeling, and analytics architecture.
- Strong SQL, data integration, and performance optimization experience.
- Knowledge of DevOps, CI/CD, infrastructure automation, and cloud security.
- Strong analytical, communication, and problem-solving skills.
- Bachelor's degree in a related field or equivalent experience.
Preferred Qualifications
- Azure, AWS, and/or GCP certifications.
- Databricks certification or equivalent experience.
- Experience with Machine Learning, Generative AI, and AI platforms.
- Knowledge of data governance, metadata management, and data quality.
- Large enterprise or public-sector experience.
Key Responsibilities
Architecture & Design
- Design scalable enterprise data and analytics architectures.
- Define technical standards and best practices for data, reporting, analytics, and AI.
- Create solution designs, architecture diagrams, and implementation roadmaps.
- Evaluate new technologies and platforms.
Power BI
- Develop and maintain Power BI dashboards, reports, semantic models, and data models.
- Optimize performance, security, usability, and governance.
- Translate business reporting requirements into scalable BI solutions.
Azure Data Factory / Data Engineering
- Develop and maintain Azure Data Factory pipelines.
- Build data ingestion, transformation, and orchestration processes.
- Support enterprise data warehouses and data lakes.
- Ensure data quality, scalability, reliability, monitoring, and recovery.
Databricks
- Administer Databricks workspaces, clusters, security, and access controls.
- Support data engineering, analytics, and machine learning workloads.
- Perform troubleshooting and performance tuning.
Cloud
- Deploy and manage services across Azure, AWS, and GCP.
- Design secure, highly available, and cost-effective cloud solutions.
- Support infrastructure automation and DevOps practices.
- Monitor cloud performance, security, and resource utilization.
AI & Analytics
- Evaluate Machine Learning, Generative AI, and AI technologies.
- Support AI integration into enterprise applications and data platforms.
- Participate in POCs and technology assessments.
- Provide guidance on AI governance, security, and scalability.
Technical Leadership
- Provide technical guidance to developers, engineers, and analysts.
- Review solution designs and code.
- Support enterprise technology initiatives.
- Serve as an SME for cloud, data, analytics, and BI technologies.
Core Skills
- Power BI
- Azure Data Factory
- Databricks
- Azure / AWS / GCP
- SQL
- Data Engineering
- Data Warehousing / Data Lakes
- Solution Architecture
- DevOps / CI/CD
- AI / Machine Learning
Job Title: Application Architect – Data & Analytics (Power BI, Azure Data Factory & Databricks)
Duration: 12 months(37.5 hrs per week)
Location: 2 Broadway, NYC - 100% Onsite
Pay rate: $75/hr on C2C
Position Summary
The Application Architect will design and support enterprise data, analytics, and cloud solutions, with a focus on Power BI, Azure Data Factory, Databricks, and cloud platforms. The role provides technical leadership across business intelligence, data engineering, analytics, and AI initiatives.
Required Qualifications
- 10+ years of experience in enterprise applications, data, analytics, or solution architecture.
- Strong hands-on Power BI experience, including dashboards, DAX, semantic models, and workspace administration.
- Strong experience with Azure Data Factory, including ETL/ELT pipelines and data integration.
- Hands-on experience administering and supporting Databricks.
- Experience managing cloud resources in Azure, AWS, and GCP.
- Strong knowledge of data warehouses, data lakes, dimensional modeling, and analytics architecture.
- Strong SQL, data integration, and performance optimization experience.
- Knowledge of DevOps, CI/CD, infrastructure automation, and cloud security.
- Strong analytical, communication, and problem-solving skills.
- Bachelor's degree in a related field or equivalent experience.
Preferred Qualifications
- Azure, AWS, and/or GCP certifications.
- Databricks certification or equivalent experience.
- Experience with Machine Learning, Generative AI, and AI platforms.
- Knowledge of data governance, metadata management, and data quality.
- Large enterprise or public-sector experience.
Key Responsibilities
Architecture & Design
- Design scalable enterprise data and analytics architectures.
- Define technical standards and best practices for data, reporting, analytics, and AI.
- Create solution designs, architecture diagrams, and implementation roadmaps.
- Evaluate new technologies and platforms.
Power BI
- Develop and maintain Power BI dashboards, reports, semantic models, and data models.
- Optimize performance, security, usability, and governance.
- Translate business reporting requirements into scalable BI solutions.
Azure Data Factory / Data Engineering
- Develop and maintain Azure Data Factory pipelines.
- Build data ingestion, transformation, and orchestration processes.
- Support enterprise data warehouses and data lakes.
- Ensure data quality, scalability, reliability, monitoring, and recovery.
Databricks
- Administer Databricks workspaces, clusters, security, and access controls.
- Support data engineering, analytics, and machine learning workloads.
- Perform troubleshooting and performance tuning.
Cloud
- Deploy and manage services across Azure, AWS, and GCP.
- Design secure, highly available, and cost-effective cloud solutions.
- Support infrastructure automation and DevOps practices.
- Monitor cloud performance, security, and resource utilization.
AI & Analytics
- Evaluate Machine Learning, Generative AI, and AI technologies.
- Support AI integration into enterprise applications and data platforms.
- Participate in POCs and technology assessments.
- Provide guidance on AI governance, security, and scalability.
Technical Leadership
- Provide technical guidance to developers, engineers, and analysts.
- Review solution designs and code.
- Support enterprise technology initiatives.
- Serve as an SME for cloud, data, analytics, and BI technologies.
Core Skills
- Power BI
- Azure Data Factory
- Databricks
- Azure / AWS / GCP
- SQL
- Data Engineering
- Data Warehousing / Data Lakes
- Solution Architecture
- DevOps / CI/CD
- AI / Machine Learning
See All 49 Business Intelligence Architect Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsBusiness Intelligence Architect Job Market
Who's Hiring
Top Industries Hiring
- Accounting & Auditing
- Human Resources
- Distribution & Wholesale
- Healthcare & Medical Services
What Employers Look For
The qualifications that appear most often in business intelligence architect jobs.
- Five or more years of experience designing enterprise BI solutions and data warehouses
- Proficiency in SQL and at least one major BI platform such as Power BI, Tableau, or Looker
- Experience with cloud data platforms including Snowflake, Redshift, or BigQuery
- Strong knowledge of dimensional modeling, star schema, and data vault design patterns
- Bachelor's degree in computer science, information systems, or a related technical field
- Familiarity with data governance, metadata management, and BI security best practices
Tips for Your Business Intelligence Architect Job Search
Tailor your resume to BI stack keywords
Job postings for business intelligence architects often filter by specific tools like Power BI, Tableau, or Snowflake. Mirror the exact platform names from each posting in your resume so your application clears automated screening before a human ever reads it.
Show architecture decisions, not just deliverables
Hiring managers want to see that you designed the system, not just built it. For each role on your resume, describe a data model or BI infrastructure decision you made, the tradeoff you weighed, and the outcome it produced for the business.
Apply early to roles that fit
Migrate Mate lists business intelligence architect openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings that name your data domain
Business intelligence architect roles in healthcare differ substantially from those in fintech or logistics in terms of data governance requirements and compliance expectations. Focus your search on industries where your domain experience is deepest so your resume resonates immediately with the job description.
Prepare a whiteboard architecture walkthrough
Many BI architect interviews include a live design exercise where you sketch a reporting layer or data warehouse schema on a whiteboard or shared screen. Practice narrating your design choices out loud, since interviewers score your reasoning as much as your final diagram.
Negotiate scope alongside compensation
When you receive an offer, ask which data domains you'll own from day one and whether the role has a path to enterprise-wide BI strategy. Architects who define scope early avoid being scoped down to a single team once onboarded.
Business Intelligence Architect Jobs: Frequently Asked Questions
Which companies are hiring the most business intelligence architects?
The companies hiring the most business intelligence architects right now include EY, Booz Allen Hamilton, and Alvarez & Marsal, with the largest share of openings in Virginia, California, and New York, based on current listings on Migrate Mate as of November 2026. Financial services, healthcare systems, and large retailers tend to maintain the most consistent demand for this role.
How many business intelligence architect jobs are remote?
About 74% of business intelligence architect openings are fully remote or hybrid as of November 2026, reflecting strong employer comfort with distributed BI work. Roles focused on cloud-native platforms and self-service analytics tend to be the most remote-friendly, while positions tied to on-premise data infrastructure or regulated industries like banking often require at least some on-site presence.
How do you become a business intelligence architect?
Start by building a foundation as a BI developer or data analyst, gaining hands-on experience with SQL, data modeling, and at least one major BI platform. Progress into roles where you own schema design or lead reporting infrastructure projects. Develop fluency in a cloud data platform, then pursue architecture-level responsibilities by leading cross-functional BI initiatives and documenting design decisions at an enterprise scale.
How do you get hired as a business intelligence architect with little experience?
Candidates without senior-level titles can still compete by building a portfolio of end-to-end BI projects: a star schema you designed, a dashboard that drove a documented business decision, or a data pipeline you architected from scratch. Applying to associate architect or senior BI developer roles that explicitly mention growth into architecture responsibilities is a practical entry point into the title.
What does the business intelligence architect interview process look like?
Most interview processes for business intelligence architects include an initial recruiter screen, a technical assessment covering SQL and data modeling, and a panel interview with engineering and analytics stakeholders. A live architecture design exercise is common, where you're asked to sketch a BI solution for a given business scenario. Final rounds often include a conversation with a director or VP about data strategy alignment.
Where can I find and apply to business intelligence architect jobs?
You can find and apply to business intelligence architect jobs on Migrate Mate, which lists current openings from across the United States. Search for roles that match your experience level, industry background, and preferred tools, then apply directly to each listing that fits.
See All 49 Business Intelligence Architect Jobs
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