Czech Republic-Prague
Open 4 months, first seen by us 128 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Lead design of enterprise semantic and tabular models across Power BI, Fabric, and Azure Analysis Services
Set standards for model design, security, deployment, and lifecycle management
Own performance tuning across source queries, VertiPaq, DAX/MDX, and refresh strategy
Architect star and snowflake dimensional models that support legacy OLAP cubes
Define and enforce semantic layer governance and release standards
Lead the design of enterprise-grade semantic and tabular models across Power BI, Microsoft Fabric, and Azure Analysis Services
Set and evolve standards for model design, naming, calculation groups, row-level security, deployment pipelines, and lifecycle management
Own performance tuning across the stack—source query design, VertiPaq compression, DAX/MDX efficiency, and refresh strategy
Architect dimensional models (star/snowflake) that support both modern tabular workloads and legacy OLAP cubes still in production
Define and enforce semantic layer governance (certified datasets, metric definitions, version control, release standards)
What you’ll need (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.
Open 4 monthsWe first saw this posting 128 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 128
Up longer than most. Similar jobs usually come down between day 8 and day 57.
Well past Edwards Lifesciences’s usual: its jobs come down by about day 41.
From 9,524 similar postings that came down, and 47 of Edwards Lifesciences’s. Coming down is not always a hire.
15 open jobs
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- 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.
- 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.
- 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.
- 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).
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.
- 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.
- 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. What you’ll need (Required):
- 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.
- 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 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.
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New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.
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We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job Posting Description
Innovation starts from the heart. At Edwards Lifesciences, we’re dedicated to developing ground-breaking technologies with a genuine impact on patients’ lives. At the core of this commitment is our investment in cutting-edge information technology. This supports our innovation and collaboration on a global scale, enabling our diverse teams to optimize both efficiency and success. As part of our IT team, your expertise and commitment will help facilitate our patient-focused mission by developing and enhancing technological solutions.
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Czech Republic-Prague
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