Senior Power BI Developer

Matrix Global•USA,

About The Position

We are seeking a Senior Power BI Developer who is as comfortable architecting a semantic model as they are designing an intuitive, executive-ready dashboard. This is not a purely technical build role — it's a hybrid position for someone who thinks like a data engineer, a UX designer, and a management consultant all at once. You'll work directly with enterprise clients across financial services, retail, CPG, and construction to translate ambiguous business questions into governed, performant, and genuinely usable Power BI solutions. You will own the full lifecycle: discovery workshops, data modeling, visual design, stakeholder presentations, and post-launch adoption.

Requirements

5+ years of hands-on Power BI development experience, including at least 2 years in a senior/lead capacity
Expert-level DAX and Power Query (M) skills
Strong data modeling fundamentals (dimensional modeling, star schema, normalization trade-offs)
Demonstrated experience designing dashboards with a UX/UI lens — a portfolio or work samples are strongly preferred
Proven ability to run stakeholder workshops and gather requirements independently
Solid SQL skills and experience with at least one enterprise data platform (Azure Synapse, Databricks, Snowflake, SQL Server)
Consulting or client-facing delivery experience (agency, systems integrator, or internal consulting team)
Excellent verbal and written communication skills; comfortable presenting to senior leadership

Nice To Haves

Microsoft certifications (PL-300, DP-500, or equivalent)
Experience with Tabular Editor, DAX Studio, and version control for BI (Azure DevOps, Git)
Familiarity with Dataiku, Alteryx, or other data prep/AI platforms
Background or coursework in UX design, information design, or data storytelling (e.g., Cole Nussbaumer Knaflic, Stephen Few methodologies)
Experience building formal design systems or component libraries for BI
Exposure to Power Platform (Power Apps, Power Automate) and embedded analytics

Responsibilities

Design and build scalable Power BI data models (star schema, composite models, tabular models) optimized for performance at enterprise scale
Write advanced DAX (time intelligence, complex measures, calculation groups) and optimize Power Query (M) transformations
Implement Row-Level Security (RLS), workspace governance, and deployment pipelines (Dev/Test/Prod) using Power BI Service and Azure DevOps
Configure and manage gateways, dataflows, incremental refresh, and integration with Azure Synapse, Databricks, Snowflake, or Dataiku data sources
Build paginated reports, embedded analytics (Power BI Embedded), and integrations with the broader Power Platform (Power Automate, Power Apps)
Establish and enforce data governance, naming conventions, and semantic model documentation standards
Troubleshoot performance bottlenecks using Performance Analyzer, DAX Studio, and Tabular Editor
Apply core data visualization and information design principles — visual hierarchy, pre-attentive attributes, color theory, and appropriate chart selection — to every report
Design dashboards with a clear narrative flow: guiding users from headline KPIs to root-cause detail through intentional layout and drill paths
Champion accessibility standards (color contrast, screen-reader-friendly tooltips, keyboard navigation) in all deliverables
Create and maintain a design system: consistent theming (JSON theme files), typography, spacing, and branded templates across client deliverables
Balance information density with clarity — avoiding "chart clutter" while still surfacing the depth power users need
Conduct usability reviews of dashboards, iterating based on real user behavior rather than assumptions
Map end-to-end user journeys for each persona (executive, analyst, operational user) to determine what each audience needs to see, when, and in what format
Lead discovery workshops to elicit requirements, translating vague asks ("we want more visibility into X") into concrete KPIs, data sources, and success metrics
Build wireframes/mockups before development to validate direction with stakeholders and reduce rework
Facilitate iterative feedback loops (UAT sessions, office hours) to refine dashboards post-launch and drive adoption
Define and track adoption and usage metrics to demonstrate ROI and identify underused reports needing redesign or retirement
Act as a trusted advisor to client stakeholders — from data analysts to C-suite executives — translating technical concepts into business value
Lead or support proposal development, SOWs, and estimation for BI engagements
Present findings and design rationale confidently in client-facing settings, defending design decisions with data-visualization best practices
Mentor junior developers and analysts on both technical standards and design principles
Contribute to internal accelerators, templates, and reusable frameworks to improve delivery speed across engagements