Lead II - Software Engineering (Power BI)

Overview

We are looking for a highly skilled and experienced Lead II

• Power BI & Microsoft Fabric to drive enterprise-scale data analytics solutions. This role combines deep technical expertise with leadership responsibilities, including architecture design, team mentorship, and stakeholder engagement to deliver high-impact business intelligence solutions.

Key Responsibilities

Technical Leadership Architect and design scalable BI solutions using Power BI and Microsoft Fabric Lead implementation of end-to-end data solutions (ingestion transformation visualization) Define best practices for data modeling, performance tuning, and report design Oversee development of Lakehouse, Data Warehouse, and Dataflows Gen2 in Fabric Ensure optimization of semantic models, DAX calculations, and large dataset handling Delivery & Execution Own delivery of BI projects from requirements to deployment Collaborate with business stakeholders to translate requirements into technical solutions Ensure data quality, governance, and security (RLS, data lineage, compliance) Manage release pipelines and CI/CD for Power BI and Fabric assets Team Leadership Lead and mentor a team of Power BI developers and data engineers Conduct code reviews and enforce development standards Provide technical guidance and resolve complex challenges Drive knowledge sharing and capability building within the team Stakeholder Management Act as the primary point of contact for business and leadership teams Present dashboards, insights, and architectural decisions to senior stakeholders Influence data strategy and BI roadmap Required Skills Expert-level experience with Power BI (Desktop, Service, Deployment Pipelines) Strong hands-on expertise in Microsoft Fabric: Data Factory Dataflows Gen2 Lakehouse & Warehouse Advanced proficiency in: DAX Power Query (M) SQL Strong knowledge of: Data modeling (star schema, performance optimization) ETL/ELT frameworks Data warehousing and analytics architecture Preferred Skills Experience with: Azure ecosystem (Synapse, Data Factory, ADLS) Databricks / Spark Python for data engineering Familiarity with: DevOps practices (Azure DevOps, Git, CI/CD pipelines) Data governance and catalog tools Exposure to real-time or streaming analytics Experience 8-12+ years in Data & Analytics / BI domain 3-5+ years leading teams or projects Proven experience delivering enterprise-scale BI solutions Soft Skills Strong leadership and mentoring ability Excellent stakeholder communication and presentation skills Strategic thinking with hands-on execution capability Ability to manage multiple projects and priorities Certifications (Preferred) Microsoft Certified: Power BI Data Analyst Associate Microsoft Fabric Analytics Engineer Associate Nice to Have Experience defining enterprise BI strategy Exposure to AI/ML integration with BI Experience in domain-specific analytics (Finance, Retail, Healthcare, etc.)