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 development tools – build software, ETL, and analytics code that is reliable, maintainable, and aligned to standards.
Lead feasibility and requirements analysis – evaluate problem definitions, requirements, and proposed solutions to determine the best course of action.
Determine and lead the design of system specifications, standards, and programming – for BI, semantic, and data-engineering deliverables.
Document and demonstrate solutions – through documentation, flowcharts, layouts, diagrams, code comments, and clear code on complex issues.
Improve operations – by conducting systems analysis and recommending changes and alternative solutions in policies and procedures.
Mentor and guide – lead project teams through best practices in development, mentor other engineers, and ensure deliverables are consistent with architecture, quality, and security policies.
Keep abreast of innovation – by studying state-of-the-art development tools, techniques, and platforms, and participating in professional and educational opportunities
What you'll need (Required):
Bachelor’s Degree or equivalent in a related field.
5+ years building enterprise Power BI solutions, with expert proficiency in DAX, Power Query (M), SQL, and dimensional/semantic modeling.
Strong data-engineering foundation: hands-on SQL-based ELT/ETL development and data warehousing on Snowflake, plus Azure Data Factory (ADF) and/or SSIS.
Hands-on experience with Microsoft Fabric (Lakehouse/Delta, Warehouse, Dataflows Gen2, Data Factory, Spark/Notebooks) or demonstrated ability to ramp quickly from an equivalent modern data stack.
Python / PySpark scripting for ETL/ELT, automation, and validation.
Demonstrated performance tuning across Power BI and data workloads (DAX optimization, query folding/M, aggregations, hybrid tables, storage modes, DirectQuery/Import/DirectLake).
Working knowledge of Azure data services, BI governance, and Git/DevOps workflows for BI deployments.
What else we look for:
Practical exposure to AI in analytics – Copilot for Power BI/Fabric, natural-language Q&A, semantic-model preparation for data agents, or ML-assisted data quality.
Experience with Direct Lake, large semantic-model patterns, and integrating Power BI with Azure SQL, Synapse, Dataverse, and REST/Graph APIs.
Exposure to Databricks and multi-engine lakehouse environments.
Certifications: PL-300 (Microsoft Power BI Data Analyst) and DP-600 (Microsoft Fabric Analytics Engineer); DP-700 (Fabric Data Engineer Associate) a plus
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Skills Required
- Bachelor's degree or equivalent in a related field
- 5+ years building enterprise Power BI solutions
- Expert proficiency in DAX, Power Query M, SQL, and dimensional or semantic modeling
- Hands-on SQL-based ELT/ETL development and data warehousing with Snowflake
- Experience with Azure Data Factory and/or SSIS
- Hands-on Microsoft Fabric experience or ability to ramp quickly from an equivalent modern data stack
- Python and PySpark scripting for ETL/ELT, automation, and validation
- Power BI and data workload performance tuning experience
- Working knowledge of Azure data services, BI governance, and Git/DevOps workflows for BI deployments
- Practical exposure to AI in analytics, including Power BI/Fabric Copilot, natural-language Q&A, data-agent semantic-model preparation, or ML-assisted data quality
- Experience with Direct Lake, large semantic-model patterns, and Power BI integrations with Azure SQL, Synapse, Dataverse, and REST/Graph APIs
- Exposure to Databricks and multi-engine lakehouse environments
- PL-300 and DP-600 certifications; DP-700 is a plus
Edwards Lifesciences Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Edwards Lifesciences and has not been reviewed or approved by Edwards Lifesciences.
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Healthcare Strength — Health coverage is considered strong, with multiple plan choices, HSA options, and fertility support, and the company highlights holistic well‑being programs.
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Retirement Support — A company 401(k) match and well‑regarded retirement offerings add clear long‑term value to total compensation.
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Equity Value & Accessibility — An Employee Stock Purchase Plan with a discount and look‑back feature makes equity ownership accessible and enhances the total rewards package.
Edwards Lifesciences Insights
What We Do
Edwards Lifesciences (NYSE: EW), is the global leader in patient-focused medical innovations for structural heart disease, as well as critical care and surgical monitoring. We thrive on discovery and expanding the boundaries of medical technology, serving patients in 100+ countries, with the help of our employees in areas including Clinical Affairs, Quality Engineering, Research & Development, Regulatory Affairs, Sales & Marketing, corporate functions and more. Our roots date back to 1958 when Miles Lowell Edwards, a retired engineer with a background in hydraulics and fuel pump operations, set out to build the first artificial heart. Edwards believed the heart could be mechanized and was encouraged by Dr. Albert Starr to focus on developing an artificial heart valve. After just two years, the first Starr-Edwards mitral valve was developed and successfully placed in a patient. This innovation spawned Edwards Laboratories. Miles’ fascination with healing the heart and helping patients with heart disease stemmed from his own experience with rheumatic fever as a teenager and continues to fuel our patient-first culture today. Today, we are as passionate about providing innovative solutions for people fighting cardiovascular disease as we have ever been. It's our Credo. It takes integrity, collaboration, innovation, and focus. We are leaders in the design and manufacture of tissue replacement heart valves and repair products as well as advanced hemodynamic monitoring. We partner with physicians to innovate products designed to help patients live longer, healthier, and more productive lives. Our work is both rewarding and a privilege. The importance of what we do defines our approach. We work together to create an environment where ideas can flourish and we provide our people with the resources, expertise and support to bring those ideas to life. For our legal terms and trademarks, please visit: https://www.edwards.com/legal/legal-terms
