Updated: July 13, 2024 - The (BI) Business Intelligence Architect's responsibilities entail designing, developing, and implementing sophisticated BI applications crucial for strategic decision-making. Leading efforts to ensure seamless integration with diverse data sources and fostering a culture of self-service BI adoption across the organization are integral. Expertise in data management standards, quality assurance, and change leadership drives a data-driven analytical foundation, facilitating informed decision-making at every level.


Tips for Business Intelligence Architect Skills and Responsibilities on a Resume
1. Business Intelligence Architect, FutureTech Consulting, New York, NY
Job Summary:
- Investigates and recommends new technology solutions that drive continuous improvement and automation wherever possible within data ecosystem.
- Acts as the internal company expert on analytical software tools, industry trends, and effective practices & procedures for translating business needs into actionable capabilities.
- Analyzes data systems and documents data elements, data flow, relationships, and dependencies.
- Performs complex data extractions and manipulations and automates routines.
- Participates in the design, development, and maintenance of internal database infrastructures.
- Participates in data governance and validation to ensure quality data.
- Ensures defined best practices, standards, and guidelines are followed during development.
- Trains users on analytic solutions and provides technical assistance
- Evaluate and prioritize Defect Reports and Change Requests
- Create and/or update Requirement, Process, Design and Technical Documentation
Skills on Resume:
- Technology Evaluation (Hard Skills)
- Analytical Expertise (Hard Skills)
- Data Analysis (Hard Skills)
- Data Automation (Hard Skills)
- Database Management (Hard Skills)
- Data Governance (Hard Skills)
- Best Practices Adherence (Hard Skills)
- User Training (Soft Skills)
2. Business Intelligence Architect, Cloud Analytics Co., Seattle, WA
Job Summary:
- Work with partners to analyze how the data warehouse and analytics architecture will meet goals
- Evaluate all proposed requests to determine fit with data warehouse and analytics architecture
- Own data warehouse and analytics technical platform from software selection to implementation to enhancements and ongoing operations
- Develop both physical and logical data models using industry standard practices (e.g., Kimball methodology).
- Provide technical direction to database and ETL developers to build data ingestion processes
- Establish metadata standards for the data warehouse. Develop BI standards, guidelines and best practice for business groups and technical teams
- Design OLAP cubes, tabular and analytics models and develop work plans for projects
- Prepare appropriate status reports and submit management
- Gather requirements and translate into effective reporting solutions
- Perform maintenance and troubleshooting activities for data warehouse and BI platform on Azure and resolve issues
Skills on Resume:
- Data Architecture Analysis (Hard Skills)
- Architecture Evaluation (Hard Skills)
- Technical Ownership (Hard Skills)
- Data Modeling (Hard Skills)
- ETL Development Direction (Hard Skills)
- Metadata and BI Standards (Hard Skills)
- OLAP and Analytics Design (Hard Skills)
- Reporting and Maintenance (Hard Skills)
3. Business Intelligence Architect, InfoStream Solutions, Chicago, IL
Job Summary:
- Application security, row-level security, and scheduled automation.
- Evaluate and tune Reports and Dashboards for optimal performance
- Work closely with Business Analysts and Business Stakeholders
- Analyse and design Business Intelligence and data warehouse structure
- Support and maintenance of the existing BI environment
- Create jobs for batch and real time processing of data from internal and external sources
- Develop complex SSIS packages to move and translate data and develop ETL mapping and logic
- Interface with other teams and departments to develop new and modify existing reporting applications
- Develop complex SQL queries and database objects (stored procs, views, etc) to pull and manage data
- Design, implement, and maintain Power BI Reports, Tableau Dashboards, semantic models, and managed SSRS reports
Skills on Resume:
- Application Security Management (Hard Skills)
- Performance Optimization (Hard Skills)
- Stakeholder Collaboration (Soft Skills)
- BI Architecture Design (Hard Skills)
- BI Environment Support (Hard Skills)
- Data Processing Development (Hard Skills)
- ETL and SSIS Development (Hard Skills)
- SQL and Database Development (Hard Skills)
4. Business Intelligence Architect, Visionary Insights LLC, Boston, MA
Job Summary:
- Manage BI & Analytics systems (SAP BO, IBM Cognos, MS PowerBI)
- Manage Financial Consolidation system (SAP BFC-EPM)
- Manage Add-on Solutions (SAP Analysis for Office, 360Suite, Motio, ZebraBI…)
- Design, install, configure, audit, upgrade, migrate, maintain and monitor systems
- Support Level 3, manage BI security, guidelines, licenses and best practices
- Research, evaluate new technologies, innovate and provide technical direction
- Manage projects (planning, budget, delivery) with internal and external stakeholders
- Provide leadership, expertise and recommendations on BI and Financial solutions
- Coordinate delivery of services to business and ensures IT service is uninterrupted
- Participates in disaster recovery/business continuity activities
Skills on Resume:
- BI Systems Management (Hard Skills)
- Financial System Management (Hard Skills)
- Add-on Solutions Management (Hard Skills)
- Systems Administration (Hard Skills)
- BI Security Management (Hard Skills)
- Technology Innovation (Hard Skills)
- Project Management (Hard Skills)
- Leadership & Expertise (Soft Skills)
5. Business Intelligence Architect, TechInnovate, Austin, TX
Job Summary:
- Design, develop, implement, and support highly complex BI applications of strategic or functional importance including: integration with data sources
- Reports that communicate critical insights to drive decision making
- Consult with end users to gather and clarify data and reporting needs for complex business intelligence solutions
- Evangelize self-service BI, analytics and reporting as well as the effective use of the database management (SQL Server, Oracle, Azure SQL, and Azure Data Lake), PowerBI, and related data & toolsets by the widest possible audience
- Develop and maintain data management standards, and documentation of current data sources, raw data, data marts, transformations, and report specifications
- Oversee data quality including validation, cleansing/scrubbing, ETL methods, etc.
- Create and maintain documentation and training materials for end users
- Lead organizational change to incorporate a data driven, analytical foundation across operations
- Collaborate with Product Owners on technical scoping and recommendations
- Maintain consistent communication with leadership on status and impediments as arise
Skills on Resume:
- BI App Development (Hard Skills)
- Decision-Driven Reporting (Hard Skills)
- User Consultation (Soft Skills)
- Self-Service Advocacy (Soft Skills)
- Data Standards Development (Hard Skills)
- Data Quality Assurance (Hard Skills)
- Documentation Creation (Soft Skills)
- Change Leadership (Soft Skills)
Lamwork content is developed through structured review of publicly available job postings and documented hiring trends.
Editorial operations are managed by Thanh Huyen, Managing Editor, with research direction and final oversight by Lam Nguyen, Founder & Editorial Lead. Content is periodically reviewed to reflect observable labor market changes.