Lead Technical Data Architect in Nationwide
Energy Jobline
Olathe, KS, United States
14 days ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Languages
English
Job source
Tech stack
Artificial Intelligence
Amazon Web Services
Software Documentation
Data Architecture
Extract Transform Load (ETL)
Technical Data Management Systems
AWS Data Analytics
Job 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
Requirements
- 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
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