Power BI Developer – Data Modernization

Cyberlocke, LLCPlano, TX
$80,000 - $115,000Hybrid

About The Position

Cyberlocke is seeking an experienced Power BI Developer to design, build, test, deploy, and support enterprise business intelligence and analytics solutions using Microsoft Power BI, Microsoft Fabric, and Azure data services. The Power BI Developer will transform governed enterprise data into meaningful dashboards, reports, semantic models, and executive-level insights. This role will work closely with business stakeholders, data architects, ETL architects, data engineers, quality assurance engineers, governance teams, and project managers throughout the data modernization lifecycle.

Requirements

  • Bachelor’s degree in computer science, information systems, data analytics, business intelligence, or a related field, or equivalent professional experience.
  • Three or more years of professional Power BI development experience.
  • Strong experience developing Power BI reports, dashboards, semantic models, and applications.
  • Advanced knowledge of DAX, Power Query, and dimensional data modeling.
  • Strong SQL skills for querying, validation, reconciliation, and troubleshooting.
  • Experience building star schemas using fact and dimension tables.
  • Experience integrating Power BI with relational databases, data warehouses, data lakes, APIs, files, and cloud platforms.
  • Experience with Power BI Service, workspaces, applications, gateways, scheduled refreshes, and permissions.
  • Experience implementing row-level security and other Power BI security controls.
  • Understanding of Import, DirectQuery, Direct Lake, composite, and live-connection models.
  • Experience gathering business requirements and translating them into reporting solutions.
  • Experience validating calculations and reconciling reports against source data.
  • Understanding of Agile development, DevOps, source control, and release-management practices.
  • Strong analytical, communication, documentation, and problem-solving skills.
  • Ability to present complex data and technical concepts to business and executive audiences.

Nice To Haves

  • Experience with Microsoft Fabric, OneLake, Lakehouse, Warehouse, Direct Lake, and Fabric deployment pipelines.
  • Experience with Azure Data Factory, Azure SQL Database, Azure Data Lake Storage, or Azure Synapse Analytics.
  • Experience with Microsoft Purview, data lineage, classification, cataloging, and governance.
  • Experience using DAX Studio, Tabular Editor, ALM Toolkit, or similar Power BI development tools.
  • Experience with calculation groups, incremental refresh, aggregations, composite models, and advanced performance optimization.
  • Familiarity with Python, R, PowerShell, or other scripting languages.
  • Experience with Azure DevOps, Git, CI/CD, and automated deployment processes.
  • Experience developing executive, financial, operational, compliance, or predictive analytics dashboards.
  • Experience migrating reports from Tableau, Qlik, Cognos, SSRS, Excel, or legacy reporting platforms.
  • Experience in education, healthcare, government, financial services, manufacturing, or other regulated industries.
  • Experience working in consulting, professional services, or customer-facing environments.
  • Understanding of accessibility and user-experience standards for business intelligence reporting.
  • One or more of the following certifications is preferred: Microsoft Certified: Power BI Data Analyst Associate, Microsoft Certified: Fabric Analytics Engineer Associate, Microsoft Certified: Fabric Data Engineer Associate, Microsoft Certified: Azure Data Engineer Associate, Microsoft Certified: Azure Fundamentals, Microsoft Certified: Azure Enterprise Data Analyst Associate, Microsoft Applied Skills credentials related to Microsoft Fabric or Power BI.

Responsibilities

  • Power BI Report and Dashboard Development
  • Semantic Model Development
  • DAX and Power Query Development
  • Microsoft Fabric and Azure Integration
  • Business Requirements and Stakeholder Engagement
  • Data Validation and Quality Assurance
  • Performance Optimization
  • Security and Data Governance
  • Power BI Administration and Deployment
  • Documentation and Training
  • Production Support and Continuous Improvement
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