Enterprise Data Architect

Leidos

. Define the data mesh architecture including domain boundaries and data products .

Posted 9/30/2026full-timeUnited StatesSeniorLead💰 $131,300 - $237,350 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data architecture, including data mesh design, governance frameworks, and real-time data pipeline development. Proficient in implementing data quality standards and metadata management solutions within aviation or FAA data systems.

Highest-signal resume keywords

Data Mesh Architecture DesignEvent Streaming ExpertiseReal-Time Data Pipeline DesignData Governance Framework DevelopmentCloud-Native Data Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureData GovernanceReal-Time ProcessingData ModelingSchema GovernanceData Lineage ImplementationGraph Database DesignData Lake ArchitectureMaster Data ManagementDataOps Automation

Tools & Technologies

Apache KafkaSQLNoSQLAWSAzure

Certifications & Qualifications

Public Trust Eligibility

Industry Keywords

Aviation Data SystemsFAA Data SystemsGDPR ComplianceSafety-Critical Operational Environments

Tech Stack

Tools & technologies

ApacheAWSAzureCloudKafkaNoSQLSQL

About the role

Key responsibilities & impact

Define the data mesh architecture including domain boundaries and data products
Establish the enterprise data governance framework and standards
Design real-time streaming data pipelines for operational aviation data
Architect event-driven data integration patterns across platform services
Define data product standards including contracts, quality, and discoverability
Develop the data integration strategy across legacy and modern systems
Plan and oversee legacy data migration to the new platform architecture
Establish data quality standards, monitoring, and remediation processes
Coordinate cross-ART data architecture decisions and dependencies
Implement metadata management and data cataloging solutions
Define data architecture for operational ATC data including real-time processing pipelines and low-latency data access patterns
Establish schema governance and data contract management ensuring interoperability across modernized and legacy services
Design latency management strategies for time-critical ATC data flows supporting real-time operational decisions
Implement data lineage tracking providing traceability from source operational systems through processing to consumption
Champion an AI-first engineering culture by identifying and applying AI-assisted development capabilities, automation, and emerging software engineering practices that improve developer productivity, code quality, testing, and delivery

Requirements

What you’ll need

Bachelor's degree with 12+ years of relevant data architecture experience or 10+ years with a Master's degree or equivalent experience
Enterprise data architecture leadership for large-scale platforms
Data mesh architecture design and implementation experience
Data governance framework development and enforcement
Event streaming expertise (Apache Kafka or equivalent) at scale
Real-time data pipeline design for mission-critical applications
Expertise across SQL and NoSQL database technologies
Distributed data systems architecture and performance optimization
Advanced data modeling for complex operational domains
Experience with real-time data processing architectures and low-latency streaming systems
Knowledge of operational data semantics in complex system environments
Experience with schema governance, data contracts, and data lineage implementation
Ability to obtain and maintain a Public Trust
U.S. citizenship required
Successful completion of background investigations as required by the government customer
Aviation or FAA data systems experience
Graph database design and implementation
Data lake architecture and governance
Master data management (MDM) strategy and tools
GDPR and data privacy compliance experience
Cloud-native data services (AWS/Azure)
DataOps and data pipeline automation
Experience with ATC or aviation operational data systems and real-time processing requirements
Knowledge of data architecture patterns for safety-critical operational environments