

New York Technology Partners
Power BI Architect
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Power BI Architect on a contract basis in Detroit, MI, hybrid (3 days onsite). Requires 8+ years in BI/analytics, 3+ in manufacturing (automotive preferred), and Power BI architecture experience. Bachelor's in relevant field preferred.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
February 11, 2026
π - Duration
Unknown
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Detroit, MI
-
π§ - Skills detailed
#Azure Data Factory #BI (Business Intelligence) #Data Pipeline #Leadership #Scala #Data Modeling #Synapse #"ETL (Extract #Transform #Load)" #Trend Analysis #Oracle #SAP #ADF (Azure Data Factory) #Azure #Microsoft Power BI #Deployment #Data Engineering
Role description
Job Title: Power BI Architect
Position Type: Contract
Location: Detroit, MI (Onsite from Day 1, Hybrid Model β 3 Days Onsite)
Job Description:
Our client a leading Detroit-based automotive manufacturer is launching a new production facility and needs a visionary Power BI Architect to design the end-to-end analytics architecture that will power plant-floor decision making from Day 1. This is a rare opportunity to build a greenfield BI platform from scratch in a mission-critical manufacturing environment.
Why This Role Stands Out
β’ Architect, Don't Maintain: Design future-state data pipelines
β’ Real Manufacturing Impact: Your architecture will directly influence OEE, quality yields, and throughput on the shop floor
β’ Cross-Functional Influence: Partner with plant engineering, IT, MES teams, and operations leadership
β’ Hybrid Flexibility: 3 days/week onsite at Detroit facility (no fully remote)
Who You Are
You're likely an ex-industrial engineer, manufacturing engineer, or plant systems specialist who discovered a passion for data and now bridges the gap between physical production and digital analytics. You speak both "plant floor" and "data platform."
Key Responsibilities
β’ Define the future-state BI architecture balancing corporate IT standards with plant-floor realities (latency, reliability, usability)
β’ Map manufacturing KPIs (OEE, First Pass Yield, Downtime Tracking, Takt Time) to source systems (MES, PLCs, SCADA, ERP, quality systems)
β’ Design scalable data models supporting both real-time shop-floor dashboards and historical trend analysis
β’ Establish governance for metrics definitions across engineering, quality, maintenance, and production teams
β’ Mentor BI developers on manufacturing context and data modeling best practices
β’ Collaborate with data engineers on ingestion strategies from operational technology (OT) systems
Required Qualifications
β’ 8+ years in BI/analytics with 3+ years in manufacturing operations (automotive preferred)
β’ Proven architecture experience with Power BI ecosystem (Premium capacity, XMLA endpoints, deployment pipelines)
β’ Hands-on understanding of manufacturing data sources: MES (e.g., Plex, Siemens Opcenter), PLC historians, ERP (SAP/Oracle)
β’ Ability to translate plant-floor concepts (e.g., "line stoppage," "changeover time") into robust data models
β’ Strong stakeholder managementβcomfortable presenting architecture tradeoffs to plant managers and IT leadership
β’ Bachelor's in Industrial Engineering, Manufacturing Engineering, or related field strongly preferred
Nice-to-Haves
β’ Experience with Azure Data Factory, Synapse, or Fabric for manufacturing data pipelines
β’ Knowledge of ISA-95 hierarchy and manufacturing information models
β’ Prior involvement in greenfield plant launches or major manufacturing transformations
Job Title: Power BI Architect
Position Type: Contract
Location: Detroit, MI (Onsite from Day 1, Hybrid Model β 3 Days Onsite)
Job Description:
Our client a leading Detroit-based automotive manufacturer is launching a new production facility and needs a visionary Power BI Architect to design the end-to-end analytics architecture that will power plant-floor decision making from Day 1. This is a rare opportunity to build a greenfield BI platform from scratch in a mission-critical manufacturing environment.
Why This Role Stands Out
β’ Architect, Don't Maintain: Design future-state data pipelines
β’ Real Manufacturing Impact: Your architecture will directly influence OEE, quality yields, and throughput on the shop floor
β’ Cross-Functional Influence: Partner with plant engineering, IT, MES teams, and operations leadership
β’ Hybrid Flexibility: 3 days/week onsite at Detroit facility (no fully remote)
Who You Are
You're likely an ex-industrial engineer, manufacturing engineer, or plant systems specialist who discovered a passion for data and now bridges the gap between physical production and digital analytics. You speak both "plant floor" and "data platform."
Key Responsibilities
β’ Define the future-state BI architecture balancing corporate IT standards with plant-floor realities (latency, reliability, usability)
β’ Map manufacturing KPIs (OEE, First Pass Yield, Downtime Tracking, Takt Time) to source systems (MES, PLCs, SCADA, ERP, quality systems)
β’ Design scalable data models supporting both real-time shop-floor dashboards and historical trend analysis
β’ Establish governance for metrics definitions across engineering, quality, maintenance, and production teams
β’ Mentor BI developers on manufacturing context and data modeling best practices
β’ Collaborate with data engineers on ingestion strategies from operational technology (OT) systems
Required Qualifications
β’ 8+ years in BI/analytics with 3+ years in manufacturing operations (automotive preferred)
β’ Proven architecture experience with Power BI ecosystem (Premium capacity, XMLA endpoints, deployment pipelines)
β’ Hands-on understanding of manufacturing data sources: MES (e.g., Plex, Siemens Opcenter), PLC historians, ERP (SAP/Oracle)
β’ Ability to translate plant-floor concepts (e.g., "line stoppage," "changeover time") into robust data models
β’ Strong stakeholder managementβcomfortable presenting architecture tradeoffs to plant managers and IT leadership
β’ Bachelor's in Industrial Engineering, Manufacturing Engineering, or related field strongly preferred
Nice-to-Haves
β’ Experience with Azure Data Factory, Synapse, or Fabric for manufacturing data pipelines
β’ Knowledge of ISA-95 hierarchy and manufacturing information models
β’ Prior involvement in greenfield plant launches or major manufacturing transformations






