Senior Power BI/Fabric Insights Engineer, IT

Edwards Lifesciences is expanding its global technology capabilities with the launch of a new IT Innovation Hub in Pune, India. The Hub strengthens the technology foundation that supports our business worldwide, working in close partnership with teams across regions to deliver reliable, high-quality solutions at scale. Designed as a long-term investment, the Pune Hub will advance newer digital capabilities such as automation, data, AI, and cloud, and will include roles spanning end user services, application development, and enterprise platform teams. We are seeking a Senior Power BI / Fabric Insights Engineer to join our Insights Engineering team within the Enterprise Data, Analytics & AI Integration ( EDAIx ) organization. This is a senior, hands-on delivery role that pairs deep Power BI and Microsoft Fabric expertise with strong data-engineering fundamentals across our modern   lakehouse   estate (Snowflake, Databricks, and Azure data services). You will design and optimize enterprise semantic models and reports, engineer the curated data that feeds them, and help shape the next generation of insights delivery – moving our users from static dashboards toward conversational, agent-assisted analytics where they can ask questions of their data in natural language and trust the answers.   The successful candidate works independently with high-level direction, applies sound judgment to complex problems, and provides technical guidance to other engineers while ensuring deliverables align with our architecture, quality, security, and governance standards.   How will you make an impact: Power BI & Semantic Modeling   Architect and maintain complex Power BI semantic models, datasets, and enterprise-grade reporting solutions that are performant, reusable, and aligned to business KPIs.   Build advanced DAX measures and reusable calculation   patterns, and   apply proven data-modeling methodologies (star schema, snowflake, Kimball, Inmon).   Implement row-level and object-level security (RLS/OLS) and workspace governance to ensure secure, scalable, and well-managed access.   Develop, enhance, and optimize reports and dashboards for usability, visual clarity, accessibility, and performance, partnering with stakeholders to refine requirements and user-centric design.   Data Engineering & Microsoft Fabric   Engineer curated, analytics-ready datasets by building and maintaining SQL-based ELT/ETL pipelines and transformation logic across Snowflake, Microsoft Fabric (Lakehouse/Delta, Warehouse, Dataflows Gen2, Data Factory, Spark/Notebooks), and Azure Data Factory.   Write Python /   PySpark   and SQL for transformation, orchestration, automation, and data-quality enforcement, ensuring reconciliation, auditability, and compliance for enterprise and regulatory reporting.   Partner closely with the Data Engineering and Data Operations teams to shift data preparation upstream into the   lakehouse , reducing report-level complexity and improving trust and reuse.   Create and maintain test scripts and automated validation routines for pipelines, datasets, and BI logic.   Next-Generation Insights & Data Agents   Help evolve Insights Engineering from static reporting toward conversational analytics – enabling users to interact with governed data in natural language through Copilot, Q&A, and emerging data-agent experiences.   Prepare and curate the semantic layer, metadata, and business definitions that make data agents accurate and trustworthy, including well-described models, synonyms, and certified datasets.   Prototype and operationalize AI-assisted capabilities within Power BI / Fabric (e.g., Copilot workflows, AI visuals, ML-assisted data quality) where they deliver real, measurable value.   Contribute to standards and guardrails that keep AI- and agent-generated insights explainable, governed, and aligned with enterprise data policy.   Technical Leadership & Delivery   Engineer solutions using application