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# Lead Technical Data Architect in Nationwide

- **Company:** Energy Jobline
- **Location:** Olathe, KS, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Software Documentation, Data Architecture, Extract Transform Load (ETL), Technical Data Management Systems, AWS Data Analytics
- **Published:** July 29, 2026
- **Apply:** https://www.energyjobline.com/job/lead-technical-data-architect-nationwide-31268432

## About the Role

* Experience leading teams of architects and coaching delivery-ready technical outputs
 * Strong background in analysing complex legacy data feeds and mapping consumers, business usage and service dependencies
 * Proven ability to plan AWS data service transformations (pipelines, storage, processing, integration, security, monitoring and support considerations)
 * Track record of creating credible decommissioning strategies with evidence-based retirement decisions
 * Confidence operating within multi-supplier governance environments, owning architectural decisions, risks, issues and assumptions
 * Clear communication skills-able to explain complex cloud and legacy transformation topics in plain English

## Description

Our Client is hiring for a reputed client to help lead a critical transformation of legacy data feeds and services onto AWS. This is a delivery-focused architecture role where your judgement, structure and assurance will turn messy legacy realities into clear, safe migration and decommissioning plans-backed by strong governance and practical outcomes.

What you'll be doing:

 * Lead architecture teams to discover, document and assure existing data feeds, interfaces, dependencies and operational constraints
 * Set documentation standards and quality expectations so outputs are consistent, traceable and usable across engineering, delivery, operations and governance
 * Define AWS target-state transformation approaches (data movement, processing, integration, security, resilience, observability and support)
 * Develop decommissioning strategies for legacy services, including dependency mapping, migration sequencing, risk management, cutover planning and retirement evidence
 * Use AI-enabled tools to accelerate feed discovery and architecture artefact production-ensuring human review, accuracy, security and governance
 * Provide architectural assurance throughout discovery, design, migration and decommissioning, challenging unsupported assumptions and incomplete analysis
 * Partner with delivery leads, engineers, operations teams, client stakeholders and third parties to keep plans realistic and aligned to programme priorities


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