OREDATA is a Digital Transformation & IT Consulting firm with 10+ years of proven expertise and hundreds of successfully implemented projects across the EMEA region. When you join the OREDATA team, you'll be working hand-in-hand with experts focused on tackling digital, operational, analytical & data science challenges with the greatest impact. We foster collaboration with proximity, an agile and autonomous approach and best practices and guiding principles.
Read more: https://medium.com/@oredata-engineering
Apply and be part of our exciting journey!
Role Summary
This role is responsible for defining, governing, and evolving CCI’s Enterprise Analytics and Self-Service Analytics architecture across Power BI, Microsoft Fabric, semantic modeling, analytics governance, and AI-enabled analytics solutions. The position requires strong architectural ownership, enterprise-scale analytics expertise, and the ability to guide delivery teams on scalable, secure, high-performance, and AI-ready analytics platforms.
Requirements
- Bachelor’s degree in Computer Engineering, Industrial Engineering, Mathematics, Statistics, Information Systems, or a related field
- Minimum 15 years of professional experience in BI, Analytics, Enterprise Data Warehouse, Data Platforms, or related technology domains
- Proven experience designing and governing Enterprise Analytics and Self-Service Analytics architectures
- Strong enterprise-scale experience with Microsoft Power BI Service architecture, administration, and governance
- Strong knowledge of Microsoft Fabric architecture and services (Lakehouse, Warehouse, Semantic Models, Data Agents, Copilot)
- Experience designing and governing semantic models, reusable datasets, enterprise data models, and governed analytics layers
- Experience with Power BI / Fabric capacity-based deployment, capacity management, scalability, and cost optimization
- Strong experience designing RLS / OLS security models and multi-country or multi-domain authorization architectures
- Experience optimizing large-scale semantic models, incremental refresh, aggregation strategies, composite models, and query performance
- Ability to make architecture decisions across DAX, semantic layer, data model, upstream data engineering, and platform layers
- Experience working on AI-assisted analytics, Copilot, Data Agents, agent-based analytics, PoC, MVP, or AI-enabled analytics initiatives
- Strong understanding of analytics governance, metadata management, lineage, certification, lifecycle management, and operational standards
- Experience working with Data Engineering, Platform, Infrastructure, InfoSec, Governance, and Analytics Delivery teams
- Proven ability to provide architecture leadership, technical governance, and enterprise-scale design standards
- Strong stakeholder management, leadership, communication, and structured problem-solving skills
- Advanced level of English communication (written and verbal)
Strong Experience
- Experience working in large-scale enterprise or multinational environments
- Experience with enterprise BI modernization, reporting consolidation, or analytics transformation programs
- Experience with Power BI deployment pipelines, Dev/Test/Prod lifecycle management, and release governance
- Experience with Google BigQuery, Azure, or modern cloud data platforms
- Experience contributing to AI-enabled analytics strategy, Copilot adoption, or analytics R&D initiatives
- Experience building or supporting Analytics Center of Excellence (CoE) or governed self-service analytics operating models
Nice to Have
- Consulting background with the ability to work in a hands-on and execution-oriented manner
- Experience contributing to architecture governance forums, technical review boards, or enterprise design authorities
Get to know us
If you want to know more about us and what we do, then visit our website: www.oredata.com
Why Oredata?
- Remote working and flexible time off
- Open communication, flexibility and start-up spirit
- Learning & Development opportunities for both personal and professional growth
- Opportunity to get company paid Professional Certificates (Google Cloud Platform, Confluent Kafka, etc)
- Access to Online Training Platforms (Udemy, Pluralsight, A Cloud Guru, Coursera, etc.)
- Dynamic work ecosystem where you can take initiative and responsibility
- Opportunity to work on international projects
- Private Health Insurance
- Birthday Leave Policy
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