Data Architect

Job Description

Job Title: Senior Data Information Engineer — Enterprise Data Modeling & Information Engineering

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Contract Duration: 12 Months of contact

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Client Location: Washington, DC (Remote but needs to be onsite for Pi Meeting)

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Client Name: Amtrak

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Pay rate: $65/hr on w2

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Role Overview:

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• The Senior Data Information Engineer serves as the portfolio’s senior information engineering and enterprise data modeling authority.

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• This role is responsible for defining and governing shared information models, schemas, data standards, and event/API data contracts across Transportation Operations applications and systems.

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• The role establishes consistent semantic and structural definitions for operational information exchanged across legacy and modern platforms, enabling interoperability, reuse, trustworthy data exchange, and scalable integration across the portfolio.

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Key Responsibilities:

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• Own the portfolio-wide information modeling framework for data in motion and at rest, ensuring alignment with enterprise data modeling standards and applicable security, performance, interoperability, and governance requirements.

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• Evaluate, design, implement, and maintain technical information frameworks for the portfolio’s ecosystem.

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• Lead creation of standardized data models, including database, event, and API contracts.

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• Design, develop, and maintain conceptual, logical, and physical data models and schemas to support business and technical requirements.

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• Analyze legacy data systems, including mainframe environments, to inform target-state information models and migration strategies.

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• Verify and maintain data integrity across the system portfolio.

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• Review database design and recommend opportunities for enhancement.

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• Evaluate, establish, and implement policies and procedures relating to database management, security, maintenance, and utilization.

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• Contribute to the development and refinement of enterprise information management standards.

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• Maintain traceability between business concepts, logical information models, physical schemas, APIs, and event contracts.

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• Translate complex operational concepts into precise, reusable data definitions and models that can be consistently implemented across multiple systems.

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• Develop current-state, transition-state, and target-state information models to support modernization of legacy operational systems.

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• Evaluate data models and event contracts for semantic consistency, interoperability, backward compatibility, reuse, and downstream consumer impact.

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• Define and govern schema lifecycle and evolution practices across databases, APIs, and event-streaming platforms.

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• Lead information modeling working sessions with business SMEs, system and solution architects, application teams, integration teams, and data engineering teams.

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• Establish modeling standards and conventions governing conceptual, logical, physical, API, and event-based information structures.

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• Define and govern canonical information models and shared business entities across Transportation Operations systems, including authoritative definitions, relationships, identifiers, and ownership.

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Minimum Qualifications:

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• Demonstrated experience designing and governing enterprise information models, conceptual/logical/physical data models, schemas, and data standards across complex, highly integrated, business-critical operational environments.

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• Experience integrating information across multiple operational applications and systems is required.

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• Transportation, railroad, logistics, transit, aviation, utilities, or similarly complex operational domain experience is strongly preferred.

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• Bachelor’s degree in information technology or a related discipline.

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• 15+ years of related work experience.

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• Excellent written, presentation, and verbal communication skills.

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• Demonstrated experience with relational and NoSQL technologies.

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Preferred Qualifications:

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• Master’s degree in engineering or computer science, or equivalent.

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• Knowledge of distributed systems, middleware, API integration, event-driven design, and enterprise information management practices.

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