Senior Microsoft Fabric & Power BI Consultant (AI-Forward) for a long term healthcare project. Please do no apply if you are not authorized to work in the USA. Key Requirements - 10+ Years in Data & Analytics - Designing data models, building data warehouses/lakehouses, and delivering enterprise reporting solutions. - Strong data modeling expertise: star schema, dimensional modeling, semantic models, and medallion architecture (bronze-silver-gold). - Microsoft Fabric Expertise - End-to-end experience with Microsoft Fabric: OneLake, Lakehouses, Warehouses, Data Pipelines, Dataflows Gen2, and Notebooks. - Data engineering in Fabric: ingestion pipelines, data transformations, incremental refresh, and orchestration. - Fabric capacity management, workspace governance, and security configuration. - Experience migrating or building greenfield data platforms on Fabric. - Power BI - Advanced Power BI development: DAX, Power Query (M), composite models, DirectLake, and paginated reports. - Dashboard and report design with a focus on usability, performance, and business value—not just aesthetics. - Row-level security (RLS), deployment pipelines, and enterprise Power BI governance. - Self-service analytics enablement: building datasets and reports that business users can explore independently. - Azure Data Platform - Azure Data Lake Storage (ADLS Gen2), Azure SQL, Synapse Analytics, Data Factory. - Azure DevOps/GitHub for CI/CD; IaC (Terraform/Bicep) is a plus. - Observability: Azure Monitor, Log Analytics, App Insights. - AI-Forward Analytics & Reporting - Daily practitioner with AI coding tools and agents: **Claude Code**, **OpenAI Codex CLI**, GitHub Copilot, Cursor (or similar). - Prompt and instruction design; translate business goals into structured prompts, tools, and context. - AI-assisted report development: using LLMs for DAX generation, data profiling, documentation, and semantic model optimization. - Copilot for Power BI and Fabric: practical experience leveraging built-in AI features for report creation, Q&A, and data exploration. - Safety/compliance: PII/PHI handling, data masking, redaction, guardrails, and HIPAA alignment in analytics environments. - Data Quality & Governance - Data quality frameworks: validation rules, profiling, anomaly detection. - Data catalog and lineage: discoverability from source through lake to mart to report. - Change Data Capture (CDC) concepts and integration with downstream reporting. - Healthcare Domain (Strongly Preferred) - Experience in healthcare, health insurance, pharmacy, or related industries. - Understanding of HIPAA, PHI handling, and regulatory requirements in data and reporting environments. - Familiarity with clinical, operational, financial, or sales reporting in a healthcare context. - Consulting & EQ - Excellent client-facing communication; ability to facilitate requirements workshops with business stakeholders. - Translate complex data concepts into actionable insights for non-technical audiences. - Outcome-focused and pragmatic—deliver business value, not just technical artifacts. Experience: - Data & analytics: 10+ years (Required) - Microsoft Fabric: 2+ years (Required) - Power BI (advanced DAX/modeling): 5+ years (Required) - Healthcare domain: 2+ years (Strongly Preferred) - AI/LLM tools in analytics workflows: 1+ years (Preferred)