Edwards Lifesciences

Develops transcatheter heart valves and devices

Data & Analytics Architect

Business IntelligenceConfirmed live in the last 24 hours

Full-timePrague, CzechiaNo salary listedIn-person

About the Job

Requirements

A bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related discipline is required.
At least 8 years of experience in business intelligence, analytics engineering, or data architecture, including meaningful time in an architect-level capacity.
Deep hands-on expertise with Power BI semantic models, including 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, with the ability to support and modernize legacy cube workloads.
Proven experience designing dimensional models, including star schemas, fact and dimension design, slowly changing dimensions, and aggregations.
Strong SQL skills for data profiling, query design, and source-side optimization.
Demonstrated success diagnosing and resolving complex performance issues across the BI stack.

Responsibilities

Lead the design of enterprise-grade semantic and tabular models across Power BI, Microsoft Fabric, and Azure Analysis Services, prioritizing reusability, governance, and long-term maintainability.
Architect dimensional models using star or snowflake schemas to support modern tabular workloads and legacy OLAP cubes still in production.
Set and evolve standards for model design, naming, calculation groups, row-level security, deployment pipelines, and lifecycle management, and recommend the appropriate consumption pattern for each use case, including Import, DirectQuery, Direct Lake, composite models, and aggregations.
Own performance tuning across the stack, including source query design, VertiPaq compression, DAX and MDX efficiency, and refresh strategy, using tools such as DAX Studio, Tabular Editor, VertiPaq Analyzer, and SQL Profiler.
Set performance benchmarks, monitoring, and capacity planning for Power BI Premium, Fabric, and Azure Analysis Services, and guide partitioning, aggregation, incremental refresh, and storage-mode decisions for large, high-concurrency models.
Author advanced DAX and MDX, complex Power Query (M), and T-SQL, and build proof-of-concept models to validate architecture before handing off to development.
Review and guide semantic models and report architecture built across Insights Engineering and partner towers, and contribute to initiatives such as the Power BI Center of Excellence and Lakehouse consumption strategy.
Serve as a technical sounding board across EDAIx by moving across projects to unblock the team, troubleshoot live issues, and pair on complex modeling problems.
Partner with Data Engineering, Data Product, and Data Governance to shape upstream structures that simplify downstream analytics, and translate decisions into clear documentation, patterns, and reusable templates.
Define and enforce semantic-layer governance, including certified datasets, metric definitions, version control, and release standards; champion architectural quality and accountability for production deliverables; and track the Microsoft analytics roadmap, including Fabric, Direct Lake, Copilot for Power BI, and semantic link, to recommend adoption.
Adhere to company rules and requirements, including Environmental Health and Safety standards, and take responsibility for protecting people and the environment within the role's area of control.

Desired Qualifications

Experience with Microsoft Fabric, Direct Lake, OneLake, and Lakehouse-based consumption architectures.
Experience integrating Power BI with Snowflake, Databricks, Azure Synapse, or Azure SQL.
Familiarity with analytics CI/CD, including Git, TMDL, deployment pipelines, and Tabular Editor automation.
Exposure to Power BI Embedded, Power BI REST APIs, and tenant or capacity administration.
Experience working in regulated industries such as medical devices, pharmaceuticals, or healthcare.
Experience contributing to or operating a Power BI Center of Excellence.
Ability to explain complex modeling and performance concepts to engineers and business stakeholders.
Ability to work across global time zones and partner with team members in Prague, Pune, Irvine, and other company locations.
Experience mentoring developers and elevating colleagues' work.
High standards for craftsmanship, documentation, and delivery quality.
Sound judgment in tool selection and recommending the right approach for each problem rather than defaulting to a single technology.

Job Posting Description
Innovation starts from the heart. At Edwards Lifesciences,we’rededicated to developing ground-breaking technologies with a genuine impact on patients’ lives. At the core of this commitment is our investment incutting-edgeinformation technology. This supports our innovation and collaboration on a global scale, enabling our diverse teams to optimize both efficiency and success. As part of ourITteam, your expertise and commitment will help facilitate our patient-focused mission by developing and enhancing technological solutions.

How you will make an impact:

Lead the design of enterprise-grade semantic and tabular models across Power BI, Microsoft Fabric, and Azure Analysis Services—prioritizing reusability, governance, and long-term maintainability.
Architect dimensional models (star/snowflake) that support both modern tabular workloads and legacy OLAP cubes still in production.
Set and evolve standards for model design, naming, calculation groups, row-level security, deployment pipelines, and lifecycle management, and recommend the right consumption pattern per use case (Import, DirectQuery, Direct Lake, composite models, aggregations).
Own performance tuning across the stack—source query design, VertiPaq compression, DAX/MDX efficiency, and refresh strategy—using tools like DAX Studio, Tabular Editor, VertiPaq Analyzer, and SQL Profiler.
Set performance benchmarks, monitoring, and capacity planning for Power BI Premium, Fabric, and Azure Analysis Services, guiding partitioning, aggregation, incremental refresh, and storage mode decisions for large, high-concurrency models.
Author advanced DAX/MDX, complex Power Query (M), and T-SQL, and build proof-of-concept models that prove out the architecture before handing off to development.
Review and guide semantic models and report architecture built across Insights Engineering and partner towers, and contribute to high-priority initiatives like the Power BI Center of Excellence and Lakehouse consumption strategy.
Serve as the technical sounding board across EDAIx—moving across projects to unblock the team, troubleshoot live issues, and pair on complex modeling problems.
Partner with Data Engineering, Data Product, and Data Governance to shape upstream structures that simplify downstream analytics, and translate decisions into clear documentation, patterns, and reusable templates.
Define and enforce semantic layer governance (certified datasets, metric definitions, version control, release standards), champion architectural quality and accountability for what reaches production, and track the Microsoft analytics roadmap (Fabric, Direct Lake, Copilot for Power BI, semantic link) to recommend adoption.

Whatyou’llneed (Required):

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 time spent in an architect level capacity.
Deep hands on expertise with Power BI semantic models, including 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, with the ability to support and modernize legacy cube workloads.
Proven experience designing dimensional models (star schema, fact and dimension design, slowly changing dimensions, aggregations).
Strong SQL skills for data profiling, query design, and source side optimization.
Demonstrated success diagnosing and resolving complex performance issues across the BI stack.

What else we look for (Preferred):

Experience with Microsoft Fabric, Direct Lake, OneLake, and Lakehouse based consumption architectures.
Experience integrating Power BI with Snowflake, Databricks, Azure Synapse, or Azure SQL.
Familiarity with CI/CD for analytics (Git, TMDL, deployment pipelines, Tabular Editor automation).
Exposure to Power BI Embedded, Power BI REST APIs, and tenant or capacity administration.
Experience working in regulated industries such as medical devices, pharmaceuticals, or healthcare.
Experience contributing to or operating a Power BI Center of Excellence
Strong troubleshooting instincts and the patience to find the real root cause, not just the visible symptom.
Confident communicator who can explain complex modeling and performance concepts to both engineers and business stakeholders.
Comfortable jumping between projects, shifting context quickly, and supporting the team where the need is greatest.
Collaborative by default, with a track record of mentoring developers and elevating the work of the people around them.
High standards for craftsmanship, documentation, and delivery quality.
Clear point of view on tool selection, with the judgment to recommend the right approach for each problem rather than defaulting to a single technology.
Comfortable working across global time zones and partnering with team members in Prague, Pune, Irvine, and other Edwards locations.
Adheres to all company rules and requirements, including Environmental Health and Safety standards, and takes responsibility for protecting people and the environment within their area of control.

About the Company

Edwards Lifesciences

Develops transcatheter heart valves and devices

Edwards Lifesciences focuses on cardiovascular medical technologies, especially transcatheter heart valves. Its products enable repairing or replacing diseased heart valves through minimally invasive procedures rather than open-heart surgery. The company builds on a long history that began with the Starr-Edwards valve and now centers on valve therapies and related diagnostics to treat heart disease. It differentiates itself by specializing in valve technologies and transcatheter approaches, backed by a track record of clinical leadership and global reach. The goal is to improve patient outcomes by providing safer, less invasive valve treatment options for people around the world.

Company size: 10,001+
Company stage: IPO
Headquarters: Irvine, CA
Founded: 1958

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