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Bi architect

São Paulo (SP)
IBM
Anunciada dia 19 fevereiro
Descrição

Introduction
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
Your Role And Responsibilities
Architecture & Design

Design and maintain BI architecture (semantic models, reporting layers, ingestion paths).
Define standards for Power BI, SAC, Business Objects, SSAS, and Datasphere.
Review and approve data models created by BI developers.

Governance & Best Practices

Define data governance rules (RLS, column-level security, naming conventions).
Ensure compliance with BI platform standards and version control practices.
Manage capacity and performance configurations for BI platforms.

Performance & Optimization

Evaluate and optimize semantic model performance (refresh times, query efficiency).
Troubleshoot bottlenecks in BI pipelines, DAX/SQL performance, and dataset refresh failures.

Collaboration & Stakeholder Alignment

Work with Data Engineers and Data Architects to align semantic models with source systems.
Interface with business stakeholders to translate reporting needs into architecture patterns.
Coordinate with platform teams to plan deployments and environment changes.

Oversight & Support

Review and guide BI Developers’ work to ensure architectural alignment.
Oversee testing and validation of BI models and reports.
Support SIT/UAT testing and resolve design-related defects.

Required Technical And Professional Expertise
Education

Bachelor’s degree completed in Technology, Engineering, Computer Science, Information Systems, or related fields.

Hard Skills

BI architecture experience using Power BI, SAP Analytics Cloud (SAC), Business Objects, and SSAS.
Strong expertise in semantic layer design and data modeling.
Performance tuning and optimization of BI solutions, including models, queries, and refresh processes.
Data governance practices, including Row-Level Security (RLS) and access control policies.
Proficiency in SQL and DAX/M (Power Query).
Integration of BI solutions with ETL pipelines and enterprise data platforms.

Soft Skills

Strong cross-functional communication skills, working effectively with business and technical teams.
Ability to translate business KPIs and reporting needs into scalable data models and architectures.
Technical leadership and mentoring of BI developers.

Languages

Advanced English.

Preferred Technical And Professional Experience

Strategy Development Expertise: Experience with developing strategies for business intelligence solutions, including aligning with business objectives and identifying opportunities for improvement. This involves analyzing business needs, defining solution requirements, and creating strategic plans for implementation.
Data Modeling Knowledge: Experience with logical and physical data modeling for business intelligence specific information, ensuring data integrity and scalability. This includes designing data architectures, creating data models, and ensuring data quality.
Performance Optimization Skills: Experience with tuning and transforming business intelligence solutions to ensure optimal performance and efficiency. This involves identifying performance bottlenecks, optimizing system configuration, and implementing best practices for performance improvement.

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