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OREDATA

Solution Architect – Analytics, BI

OREDATA

Solution Architect responsible for Enterprise Analytics architecture focusing on Power BI and AI solutions at OREDATA. Collaborating with delivery teams and guiding analytics platform development.

Posted 5/18/2026full-timeIstanbul • 🇹🇷 TurkeySeniorLeadWebsite

About the role

Key responsibilities & impact
  • 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
  • Guide delivery teams on scalable, secure, high-performance, and AI-ready analytics platforms

Requirements

What you’ll need
  • 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)

Benefits

Comp & perks
  • 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

ATS Keywords

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Hard Skills & Tools
Enterprise Analytics architectureSelf-Service Analytics architectureMicrosoft Power BIMicrosoft Fabricsemantic modelinganalytics governanceDAXRLS security modelsOLS security modelsAI-enabled analytics
Soft Skills
stakeholder managementleadershipcommunicationstructured problem-solving