BI Lead / Platform Architect (Fabric Lakehouse + Power BI)

8 - 12 years

10 - 14 Lacs

Posted:17 hours ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Position Title:

Role Purpose

We are seeking an experienced BI Lead / Platform Architect to own the end-to-end analytics platform. You will design and deliver a scalable solution starting from Microsoft Fabric Lakehouse to Gold Star Schema to Certified Power BI Semantic Model, ensuring robust security, governance, performance, and CI/CD automation. The role requires strong hands-on expertise in Microsoft Fabric, Power BI Premium, Direct Lake, Hybrid Tables, Aggregations, and DevOps automation.

You will be responsible for delivering the Phase-1 MVP reporting pack and establishing best practices that will serve as the foundation for enterprise-scale adoption.

Key Responsibilities

Architecture and Modeling

  • Design Bronze, Silver, and Gold layers in OneLake (Delta) and define conformed HR entities with modeling conventions.
  • Build certified Power BI datasets using Direct Lake, Hybrid Tables, and Aggregations.
  • Implement calculation groups (Time, Currency, Scenario), field parameters, and perspectives (Executive, HR, Manager).
  • Lead the Gold layer development including FactWorkerSnapshot, FactReqPipeline, FactHire, FactPayrollLine, FactTimeEntry, FactAbsence with SCD2 dimensions.

Security, Governance and Operations

  • Implement Row-Level Security (RLS) and Object-Level Security (OLS) with salary masking and region/business unit segregation.
  • Apply sensitivity labels, DLP policies, and export governance (watermarking, row caps).
  • Establish CI/CD pipelines using XMLA, TMSL, Tabular Editor, ALM Toolkit, and Deployment Pipelines (Dev to Test to Prod).
  • Define and monitor telemetry and SLOs such as P95 visual render less than 5 seconds and dataset refresh within 60 minutes.

Delivery and Leadership

  • Deliver the MVP report pack across Operational, Analytical, Executive, and Discovery dashboards, plus a Paginated (printable) pack.
  • Guide and mentor Data Engineers, Analytics Engineers, and ML Engineers.
  • Conduct performance reviews, code reviews, and go-live quality gates.
  • Collaborate with UX/UI and Frontend teams to securely embed analytics in Power Pages or Power Apps and enable Power Automate workflows.

Must-Have Qualifications

  • 8 to 12+ years of experience in BI/Analytics with at least 3 years hands-on in Power BI Premium or Fabric at enterprise scale.
  • Proven expertise with:
    • Direct Lake, Hybrid Tables, Aggregation Tables
    • VertiPaq tuning, DAX Studio, Tabular Editor
    • XMLA/TMSL scripting, ALM Toolkit, Deployment Pipelines
  • Experience designing star schemas with SCD2 dimensions.
  • Strong track record in RLS/OLS implementations, sensitivity labeling, and DLP policies.
  • Hands-on ownership of CI/CD for semantic models and BI performance optimization.

Nice-to-Have Skills

  • Dataflows Gen2 and Fabric Lakehouse/Warehouse internals.
  • HR analytics domain experience (workforce, talent, compensation).
  • Azure DevOps or GitHub Actions for BI CI/CD.
  • Fabric notebooks (Python, Spark).
  • Advanced Paginated Reports development.

What You Will Deliver in 90 Days

  • Certified Power BI dataset with Direct Lake, Aggregations, and RLS/OLS.
  • Delivery of 6 to 7 reports across Operational, Analytical, and Executive layers plus a Paginated pack.
  • A Discovery dashboard with anomaly detection cards and AI-generated narratives.
  • Full documentation including modeling standards, KPI dictionary, security runbook, CI/CD pipeline, and telemetry dashboards.

Interview Process (Suggested)

  1. Architecture Deep-Dive (45 min): Lakehouse to Direct Lake design for 150M+ rows, aggregation strategy, hybrid cutover.
  2. Hands-On (4560 min): Tabular Editor exercise (Calculation Group + Field Parameter), aggregation mapping, DAX Studio performance review.
  3. Security and CI/CD (30 min): Walkthrough of RLS/OLS, DLP setup, XMLA/TMSL deployment.
  4. Portfolio Review (30 min): Prior projects in large-scale Power BI models and paginated packs.

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