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Principal Data Architect with Rail industry

Hybrid in Washington, DC, US • Posted 4 hours ago • Updated 4 hours ago

Contract W2

No Travel Required

Hybrid

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

API
Kafka

Summary

Principal Data Architect

Washington, DC -Hybrid -3 days onsite

Need Local Candidate
Interview : 1 Video call
We can submit vendor candidate also

Must have 15+ Years of experience & Rail industry is highly preferred.

Job Description

Key Responsibilities

Architectural Leadership: Lead the design and implementation of the technical information architecture for the Labor Management ecosystem, ensuring alignment with enterprise security and performance standards.
Data Modeling: Create and maintain conceptual, logical, and physical data models, including standardized event schemas and API contracts.
Modernization & Integration: Analyze legacy mainframe data systems to inform future-state migrations and develop high-performance pipelines for real-time data transformation and Change Data Capture (CDC).
System Optimization: Perform advanced database programming and query tuning to maintain peak performance and verify data integrity across the portfolio.
Governance & Standards: Establish and implement policies for database management, security, and utilization, contributing directly to the refinement of Enterprise Information Management (EIM) standards.
Mentorship: Provide technical guidance, research new information technologies, and mentor engineering teams on best practices for information design and implementation.

Qualifications

Experience: Minimum of 15+ years of related work experience in Data Management, specifically within Labor and Transportation systems.
Industry Knowledge: Previous experience in the Rail industry is highly preferred.
Technical Mastery: Demonstrated expertise in Information Architecture, Data Modeling, and both Relational and NoSQL technologies.
Modern Stack: Proficiency with streaming technologies (e.g., Kafka, Kafka Schema Registry) and distributed systems architecture.
Legacy Systems: Proven ability to navigate and extract value from legacy environments, including mainframe architectures.
Education: Bachelor’s degree in Information Technology or a related field required; Master’s degree in Engineering or Computer Science preferred.
Communication: Exceptional written and verbal communication skills, with the ability to present complex technical concepts to diverse stakeholders.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91001743
Position Id: 8956158
Posted 4 hours ago

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