Senior BI Engineer - Power BI Subject Matter Expert

Posted Yesterday
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Hyderabad, Telangana, IND
Hybrid
Senior level
Database • Analytics
The Role
Build and optimize enterprise Power BI semantic models, reports, and data solutions using DAX, Power Query, SQL, and Microsoft Fabric. Own performance tuning, governance, security, administration, deployment pipelines, and automation. Serve as the technical escalation point, review development work, establish best practices, mentor developers, advise clients, and support Fabric adoption and migrations from other BI platforms.
Summary Generated by Built In
Company Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com 

Job Description

About the Role

We are looking for a hands-on Power BI Subject Matter Expert who knows Power BI inside out. You will be the go-to technical authority on data modeling, DAX, performance, and governance, while still building solutions yourself. You will solve the hardest Power BI problems across enterprise engagements and guide developers on best practices. Experience with Microsoft Fabric is a strong advantage as clients increasingly adopt it.

Key Responsibilities:

Design & Development

  • Build complex, enterprise-scale semantic models using star-schema design and advanced DAX (calculation groups, field parameters, time intelligence, dynamic formatting).
  • Develop high-quality reports with strong UX, drill-through, bookmarks, tooltips, and custom visuals where needed.
  • Write Power Query (M) and SQL for data preparation and transformation.
  • Choose the right storage mode (Import, DirectQuery, Composite) based on scale, latency, and cost.

Performance & Optimization

  • Diagnose and tune slow models and reports using DAX Studio, Tabular Editor, VertiPaq Analyzer, and Performance Analyzer.
  • Optimize refresh strategies, including incremental refresh, partitioning, and aggregations.

Governance, Security & Administration

  • Implement RLS/OLS, workspace strategy, and access controls.
  • Manage Power BI Service: gateways, scheduled refresh, apps, sensitivity labels, endorsement, and lineage.
  • Set up deployment pipelines and version control for Power BI artifacts (PBIP, TMDL).

Leadership & Enablement

  • Act as the escalation point for complex Power BI issues across projects.
  • Conduct model and report reviews, and contribute to development standards and best practices.
  • Mentor developers and advise clients on Power BI adoption and roadmap, including Copilot in Power BI.
  • Support clients adopting Microsoft Fabric (Lakehouse, Direct Lake, OneLake) where applicable.

Qualifications

Education:

  • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.
  • Certifications: PL-300, DP-600 (Fabric Analytics Engineer).

Required Skills:

  • 5+ years of deep, hands-on Power BI experience in enterprise BI/analytics.
  • Expert DAX, data modeling (star schema), and Power Query (M).
  • Strong SQL.
  • Solid understanding of storage modes, incremental refresh, and performance tuning.
  • Hands-on with Tabular Editor, DAX Studio, and XMLA endpoints.
  • Experience with RLS/OLS, deployment pipelines, and Power BI Service administration.
  • Excellent communication and client-facing skills. 
  • Hands-on Microsoft Fabric experience: Lakehouse, Warehouse, Data Pipelines, Dataflows Gen2, Notebooks, and Direct Lake.
  • Fabric capacity management and Git integration for Fabric workspaces.
  • Python/PySpark or Semantic Link (SemPy).
  • Power BI REST APIs or PowerShell for automation; Power BI Embedded; paginated reports.
  • Azure ecosystem: Data Factory, Synapse, Databricks, Entra ID.
  • Experience migrating from Tableau, Qlik, SSRS, or other BI tools to Power BI.

Additional Information

Thrive & Grow with Us:

  • Competitive Salary: Your skills and contributions are highly valued here, and we make sure your salary reflects that, rewarding you fairly for the knowledge and experience you bring to the table. 
  • Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly, providing the right tools, mentorship, and experiences to fast-track your career.
  • Idea Tanks: Innovation lives here. Our "Idea Tanks" are your playground to pitch, experiment, and collaborate on ideas that can shape the future.
  • Growth Chats: Dive into our casual "Growth Chats" where you can learn from the best—whether it's over lunch or during a laid-back session with peers, it's the perfect space to grow your skills.
  • Snack Zone: Stay fuelled and inspired! In our Snack Zone, you'll find a variety of snacks to keep your energy high and ideas flowing.
  • Recognition & Rewards: We believe great work deserves to be recognized. Expect regular Hive-Fives, shoutouts and the chance to see your ideas come to life as part of our reward program.
  • Fuel Your Growth Journey with Certifications: We’re all about your growth groove! Level up your skills with our support as we cover the cost of your certifications.

Skills Required

  • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field
  • PL-300 certification
  • DP-600 Fabric Analytics Engineer certification
  • 5+ years of deep, hands-on Power BI experience in enterprise BI or analytics
  • Expertise in DAX, star-schema data modeling, and Power Query M
  • Strong SQL skills
  • Experience with storage modes, incremental refresh, and performance tuning
  • Hands-on experience with Tabular Editor, DAX Studio, and XMLA endpoints
  • Experience with RLS/OLS, deployment pipelines, and Power BI Service administration
  • Excellent communication and client-facing skills
  • Hands-on Microsoft Fabric experience, including Lakehouse, Warehouse, Data Pipelines, Dataflows Gen2, Notebooks, and Direct Lake
  • Experience with Fabric capacity management and Git integration for Fabric workspaces
  • Experience with Python, PySpark, or Semantic Link SemPy
  • Experience with Power BI REST APIs or PowerShell automation, Power BI Embedded, and paginated reports
  • Experience with Azure Data Factory, Synapse, Databricks, and Entra ID
  • Experience migrating from Tableau, Qlik, SSRS, or other BI tools to Power BI

Blend360 Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Blend360 and has not been reviewed or approved by Blend360.

  • Fair & Transparent Compensation — Pay is considered fair-to-good by many, and public salary postings for common data roles indicate competitive packages in numerous markets. Feedback suggests overall company sentiment aligns with acceptable compensation relative to peers in consulting and analytics.
  • Flexible Benefits — Flexible and remote/hybrid work arrangements are consistently highlighted in official materials and role descriptions. Feedback suggests flexibility is a meaningful part of the total rewards experience.
  • Retirement Support — A 401(k) with company match is part of the core package. Feedback suggests retirement offerings are standard and contribute to a complete benefits set.

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The Company
HQ: Columbia, MD
390 Employees
Year Founded: 2016

What We Do

Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology and analytics. Blend360 has two divisions: Data Science Solutions: We work at the intersection of data, technology and analytics. Talent Solutions: We live and breathe the digital and talent marketplace.

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