Senior Data Architecture Manager

ManpowerGroup Talent Solutions

. Design enterprise data fabric solutions providing unified, intelligent, automated access to distributed data across on-premises and multi-cloud environments .

Posted 10/16/2026full-timeRemote • Wisconsin • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in designing enterprise data fabric solutions, integrating data virtualization, active metadata, and knowledge graphs for analytics and AI. Proven ability to engage with clients as a trusted advisor and implement scalable data architectures across multi-cloud environments.

Highest-signal resume keywords

Data ArchitectureData Fabric SolutionsCloud Data PlatformsData Integration/ETL/ELTAPI and Streaming Architectures

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data VirtualizationActive MetadataKnowledge GraphsAutomated Data IntegrationData Mesh ConceptsData Product ConceptsCloud Data PlatformsData IntegrationETLELT

Soft Skills

Client EngagementTrusted Advisor

Tools & Technologies

SnowflakeDatabricksAzure SynapseBigQuery

Industry Keywords

Utilities ClientsRegulatory FunctionData GovernanceData LineageReal-Time Data Delivery

Tech Stack

Tools & technologies

AzureBigQueryCloudETL

About the role

Key responsibilities & impact

Design enterprise data fabric solutions providing unified, intelligent, automated access to distributed data across on-premises and multi-cloud environments
Integrate data virtualization, active metadata, knowledge graphs, cataloging, and automated data integration into a connected data layer for analytics and AI
Establish reference architectures, integration patterns, and governance integration that scale across the enterprise
Enable self-service consumption, data products, and real-time data delivery through the data fabric
Apply data mesh and data product concepts, cloud data platforms, and streaming/API architectures to client problems
Engage client architects and leaders as a trusted advisor and shape solutions for major data modernization pursuits

Requirements

What you’ll need

Minimum of 10 years of experience in data architecture or enterprise data engineering
Minimum of 6 years of experience architecting data fabric solutions (data virtualization, active metadata, knowledge graphs, automated integration)
Minimum of 5 years of experience with cloud data platforms (e.g., Snowflake, Databricks, Azure Synapse, BigQuery)
Minimum of 4 years of experience with data integration/ETL/ELT and metadata & lineage tooling
Minimum of 3 years of experience with API and streaming architectures
Minimum of 1 year of experience serving utilities clients (electric, gas, or water) or in a utilities finance, controllership, or regulatory function
Bachelor's degree

Benefits

Comp & perks

Travel may be required for this role, varying from 0 to 100% depending on business need and client requirements