Power BI/Power Platform Solution Architect
Pubblicato il 15-08-2026 - Ntt Data Europe & Latam in Ro
Who We Are
We are looking for an experienced Power BI/Power Platform Solution Architect to design, develop, and deliver modern analytics and reporting solutions using Microsoft Power Products, with a strong focus on Power BI, Power Query, Power Pivot, and data modelling.
The candidate will play a key role in migrating existing BI solutions from legacy or alternative BI platforms to Power BI, ensuring solutions are scalable, performant, secure, and aligned with enterprise architecture standards. The role requires strong hands-on technical capability, experience with Snowflake-based data platforms, and the ability to engage confidently with business stakeholders, data teams, architects, and senior technology stakeholders.
What You'll Be Doing
- Design and develop end-to-end BI and analytics solutions using Power BI, Power Query, Power Pivot, DAX, and Microsoft Power Platform components
- Define scalable Power BI architectures aligned with enterprise data strategy, governance, security, and performance requirements
- Build Power BI datasets, reports, dashboards, and semantic models
- Lead migration from legacy BI tools to Power BI
- Assess existing reports, dashboards, KPIs, and data models and define migration strategies
- Design Power BI solutions leveraging Snowflake as a strategic data platform
- Collaborate with architecture, data engineering, and business teams to define target‑state solutions
- Articulate solution options, trade-offs, risks, and benefits to technical and non-technical stakeholders
- Define and promote best practices for Power BI development, governance, security, and performance optimisation
What You’ll Bring Along
- BSc/MSc in Computer Science, Data Engineering, or related field; Snowflake certification(s) strongly desirable
- Experience: Minimum 5–8 years in data engineering, data warehousing, or data architecture roles
- Strong expertise in Power BI Desktop and Power BI Service
- Advanced experience with Power Query, Power Pivot, DAX, and se