Iris Software Inc.

Data Architect

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Technical Product Manager/Data Architect, 18 months, 100% Remote, focusing on MS Fabric, OneLake, and Lakehouses. Requires expertise in analytics delivery models, data architecture, and Power BI integration.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
March 20, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Visualization #BI (Business Intelligence) #Data Architecture #Scala #"ETL (Extract #Transform #Load)" #Microsoft Power BI #Strategy
Role description
Iris's Direct Client, a large Big four auditing firm, is currently searching for a strong Technical Product Manager to join their team. Title: Technical Product Manager/ Data Architect Duration: 18 months Location: 100% Remote Skills: MS Fabric, OneLake, Lakehouses. Job Requirement: β€’ We are hiring a Technical Product Manager (TPM) to own the strategy, roadmap, and execution of our enterprise data & analytics capabilities that will be integrated into Advisory’s delivery platform, with a strong focus on Microsoft Fabric and Power BI integration. β€’ This role sits at the intersection of product, engineering, and analytics β€” responsible for transforming client data needs into scalable, secure, and high-performance solutions. β€’ You will work directly with consultants, engineers, and data specialists to ensure our analytics platform supports real-world client delivery across ingestion, transformation, modeling, and visualization. β€’ You will translate business requirements into platform capabilities that scale globally. β€’ This role is ideal for a TPM who deeply understands professional services delivery models for analytics to clients and can operate as both a system architect partner and a product leader. Key Responsibilities: β€’ Own the product roadmap for Microsoft Fabric across ingestion, transformation, orchestration, modeling, and analytics. β€’ Define Fabric as the enterprise system of record for analytics workloads across engagements. β€’ Identify platform gaps that impact consultant productivity and client delivery outcomes. β€’ Translate user needs into scalable product capabilities and technical investment plans.