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# Data Architect in Nationwide

- **Company:** Energy Jobline
- **Location:** Olathe, KS, United States
- **Salary:** $171,600.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Continuous Integration, Data Architecture, Extract Transform Load (ETL), Data Virtualization, Data Warehousing, Relational Databases, DevOps, Graph Database, NoSQL, Cloud Services, Data Lakes, Data Analytics, Data Management, Data Pipelines
- **Published:** September 5, 2026
- **Apply:** https://www.energyjobline.com/job/data-architect-nationwide-31516931

## About the Role

Proven experience as a Data Architect within large-scale enterprise environments.
Strong expertise in data architecture, modelling, governance, and data management.
Experience designing:
Data Lakes
Data Warehouses
Lakehouse Architectures
Data Virtualisation Solutions
ETL/ELT Frameworks
Strong understanding of:
Relational Databases
NoSQL Databases
Graph Databases
Cloud Data Platforms
Experience delivering cloud migration and transformation programmes.
Knowledge of analytics, reporting, API integration, and data consumption patterns.
Experience working within Agile, DevOps, CI/CD, and modern engineering environments.
Strong stakeholder management and communication skills.
Experience leading technical teams and governing architecture delivery.Desirable Skills

Experience with modern cloud- data platforms and lakehouse deployments.
Understanding of AI and data-driven solutions.
Experience contributing to bids, technical proposals, or solution strategy.
Experience managing architecture governance throughout programme lifecycles.If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website

## Description

Design and govern enterprise-level data architectures across complex environments.
Define solutions covering data lakes, data warehouses, lakehouses, data virtualisation, and modern data pipelines.
Provide architectural leadership across cloud, on-premise, and hybrid platforms.
Design data management frameworks covering metadata, lineage, quality, governance, ownership, and classification.
Support the adoption of AI-enabled data and analytics capabilities.
Ensure architecture aligns with business requirements, governance standards, and best practices.
Guide delivery teams through complex design and implementation decisions.
Build trusted relationships with stakeholders, suppliers, and technical teams.
Support solution governance, architecture reviews, and technical assurance activities.Essential Skills & Experience


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