Architect BI

Experis to światowy lider rekrutacji specjalistów i kadry zarządzającej w kluczowych obszarach IT. Z nami znajdziesz konkurencyjne oferty zatrudnienia oraz ciekawe projekty IT skierowane zarówno do ekspertów z wieloletnim doświadczeniem, jak i osób, które dopiero zaczynają swoją przygodę w branży IT.

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience).
• 7+ years of experience in Data Warehousing, Business Intelligence, Data Architecture, or Analytics Engineering roles.
• Proven hands-on experience designing and implementing solutions using Microsoft Fabric.
• Strong expertise in Power BI, including report development, semantic modeling, workspace architecture, and administration.
• Experience designing and implementing Lakehouse architectures and modern data platforms.
• Advanced knowledge of DAX, data modeling, and performance tuning techniques.
• Strong experience with ETL/ELT patterns, data integration, and orchestration frameworks.
• Solid understanding of dimensional modeling concepts, including star and snowflake schemas.
• Experience working with large-scale datasets and optimizing analytics performance.
• Strong SQL skills and experience with data transformation and query optimization.
• Ability to engage with both technical and business stakeholders and communicate complex concepts effectively.

• Design and architect modern Business Intelligence and analytics solutions using Microsoft Fabric and Power BI.
• Define and implement enterprise data architectures, including Lakehouse, data warehouse, and semantic layer designs.
• Develop and optimize semantic models, datasets, measures, and calculations using advanced DAX techniques.
• Design, build, and maintain scalable data pipelines, ETL/ELT processes, and data integration frameworks.
• Collaborate with business stakeholders, product owners, and technical teams to gather requirements and translate them into robust BI solutions.
• Establish data modeling standards, best practices, and architectural guidelines for analytics platforms.
• Drive end-to-end performance optimization across data ingestion, storage, transformation, semantic models, and reporting layers.
• Implement and promote data governance, security, data quality, and compliance standards across the BI ecosystem.
• Provide architectural leadership and technical guidance to development teams and BI engineers.
• Evaluate emerging technologies and recommend improvements to the organization's data and analytics strategy.
• Support solution design workshops, architecture reviews, and stakeholder presentations.
• Create and maintain architecture documentation, technical specifications, and implementation roadmaps.
• Ensure scalability, reliability, and maintainability of data platforms and reporting solutions.