Data & Analytics Architect

About the role

As part of the IT team at Edwards Lifesciences, the Data & Analytics Architect designs and governs enterprise-grade semantic and tabular models across Power BI, Microsoft Fabric and Azure Analysis Services. The role sets standards, tunes performance and acts as the technical sounding board across projects, working with partners in Prague, Pune, Irvine and other locations.

Key responsibilities

• Design enterprise-grade semantic and tabular models across Power BI, Microsoft Fabric and Azure Analysis Services, prioritizing reusability, governance and maintainability.
• Architect dimensional models (star/snowflake) for modern tabular workloads and legacy OLAP cubes, and set standards for naming, calculation groups, row-level security, deployment pipelines and lifecycle management.
• Tune performance across the stack (query design, VertiPaq compression, DAX/MDX, refresh strategy) using DAX Studio, Tabular Editor, VertiPaq Analyzer and SQL Profiler.
• Set benchmarks, monitor and plan capacity for Power BI Premium, Fabric and Azure Analysis Services, and guide partitioning, aggregation and storage mode decisions.
• Build proof-of-concept models and review semantic models and report architecture, contributing to initiatives such as the Power BI Center of Excellence.
• Partner with Data Engineering, Data Product and Data Governance, and define semantic layer governance (certified datasets, metric definitions, version control).
• Track the Microsoft analytics roadmap (Fabric, Direct Lake, Copilot for Power BI, semantic link) and recommend adoption.

Required profile

• Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics or a related discipline.
• 8+ years of experience in business intelligence, analytics engineering or data architecture, with meaningful architect-level time.
• Proven experience diagnosing and resolving complex performance issues across the BI stack.
• Preferred: regulated industry experience (medical devices, pharmaceuticals, healthcare), mentoring experience, and comfort working across global time zones.

Required skills

• Deep hands-on expertise with Power BI semantic models, advanced DAX, Power Query (M) and Tabular Editor.
• Strong experience designing and tuning tabular models in Azure Analysis Services or SQL Server Analysis Services.
• Working knowledge of multidimensional OLAP cubes and MDX.
• Proven dimensional modeling (star schema, slowly changing dimensions, aggregations) and strong SQL.
• Preferred: Microsoft Fabric, Direct Lake, OneLake, Lakehouse, Snowflake, Databricks, Azure Synapse, Azure SQL, CI/CD for analytics, Power BI Embedded and REST APIs.