

Business Intelligence Architect
β - Featured Role | Apply direct with Data Freelance Hub
This role is a remote W2 contract for a Senior Agile Reporting Architect/Developer specializing in Power BI, data integration, and AI reporting. Requires 7+ years of experience, strong skills in DAX, ETL, and Agile frameworks. Pay rate and contract length unspecified.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 25, 2025
π - Project duration
Unknown
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ποΈ - Location type
Remote
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
California, United States
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π§ - Skills detailed
#Scrum #Data Pipeline #Kubernetes #Microsoft Power BI #Containers #BI (Business Intelligence) #Databases #Documentation #Power Automate #Scala #Docker #DAX #Semantic Models #SQL (Structured Query Language) #Azure SQL #"ETL (Extract #Transform #Load)" #Data Lake #Data Governance #DevOps #Databricks #Synapse #ML (Machine Learning) #AI (Artificial Intelligence) #Agile #Jira #Visualization #Azure #Kanban #Data Modeling #Data Integration #Observability
Role description
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This is a W2 project - Please NO C2C.
We are looking for a Power BI Architect who has helped to design the integration of AI solutions.
This is a remote contract supporting the PST time zone.
β’ Sr. level Reporting Architect/Developer (Power BI, Data integration, AI reporting)
β’ Container β where are we capturing this info? How should we report on this (metrics, etc.). What is the AI tech we need to use in order to deliver on this?
β’ Client needs help with how does this get architected, in order to produce the prompted desired output?
Job Title: Senior Agile Reporting Architect / Developer β Power BI, Data Integration & AI Reporting
Location: Remote supporting PST/CA
Summary:
We are seeking a Senior Agile Reporting Architect/Developer with deep expertise in Power BI, data integration, and AI-powered reporting solutions to help a client define and implement an advanced reporting architecture. The ideal candidate will bring both hands-on technical knowledge and strategic thinking to design and build AI-driven dashboards and metrics that capture Agile team maturity, productivity, and performance trends through prompt engineering and intelligent data modeling.
Key Responsibilities:
β’ Architect and develop scalable BI solutions using Power BI, integrating data from multiple enterprise sources (e.g., Azure SQL, APIs, Jira, DevOps, Confluence).
β’ Collaborate with stakeholders to understand and refine reporting containers (e.g., databases, data lakes, operational systems) for structured and unstructured Agile delivery data.
β’ Build frameworks to capture Agile team productivity, maturity, and velocity metrics.
β’ Utilize AI technologies (e.g., Microsoft Fabric Copilot, Azure OpenAI, Synapse ML) to enhance reporting outputs with natural language insights, predictive indicators, and user-driven prompts.
β’ Leverage prompt engineering techniques to translate business questions into AI-readable queries and dynamic visualizations.
β’ Ensure data governance, lineage tracking, and KPI standardization across reports.
β’ Define data models, ETL pipelines, and visual layer logic to ensure clean, timely, and explainable output.
β’ Partner with Agile teams to refine KPIs like sprint throughput, lead time, blockers, and team health using AI-enhanced patterns.
β’ Train internal resources on best practices around AI reporting, data integration, and metric-based Agile maturity measurement.
Required Skills & Experience:
β’ 7+ years in BI/reporting architecture and development roles, with deep Power BI experience.
β’ Demonstrated experience architecting AI-infused reporting solutions using tools such as Microsoft Power Platform (Copilot, Power Automate), Azure OpenAI, Synapse Analytics, or similar.
β’ Strong experience with data integration, ETL, and building semantic models across complex enterprise data sources.
β’ Knowledge of Agile delivery frameworks (Scrum, SAFe, Kanban) and metrics for tracking team performance.
β’ Proficiency in DAX, Power Query, M language, and data transformation best practices.
β’ Experience applying prompt engineering for dashboard personalization or intelligent insight generation.
β’ Excellent stakeholder communication and requirements translation skills.
Nice-to-Have:
β’ Experience with AI observability tools and reporting on DevOps/Agile maturity.
β’ Familiarity with Agile tool ecosystems (e.g., Jira, ADO, Rally) and APIs for extracting team data.
β’ Exposure to containerized data environments (e.g., Docker, Kubernetes, Databricks).
β’ Familiarity with MLOps pipelines, AI model explainability, or predictive analytics dashboards.
Deliverables:
β’ A comprehensive Power BI reporting architecture for team maturity and productivity insights.
β’ Integrated data pipeline from Agile delivery tools into curated models.
β’ A suite of AI-enhanced dashboards and reports powered by prompt-based insights.
β’ Guidance on tooling, metric definitions, and AI platform choices.
β’ Documentation and knowledge transfer for ongoing support and enhancement.