Sr. Data Modeler

Our client is seeking a Sr. Data Modeler - Integration & Events to serve as a key technical authority across our client’s Transportation Operations portfolio.

In this role, you will define and govern conceptual, logical, and physical data models, shared semantic standards, and event/API contracts to bridge legacy systems (including mainframe) with modern distributed architectures.

By standardizing canonical models, managing schema lifecycles, and establishing formal data contracts in Kafka/Confluent environments, you will ensure reliable, interoperable, and scalable data exchange across mission-critical rail and transit operational platforms., * Design, implement, and maintain conceptual, logical, and physical data models for operational data at rest and data in motion across relational, NoSQL, and event-driven systems.

• Lead the definition, evolution, and governance of standardized event contracts and API schemas using Kafka Schema Registry, enforcing compatibility modes, schema references, and consumer-impact standards.
• Establish and govern canonical information models, shared operational entities, authoritative definitions, relationships, and naming conventions aligned with enterprise standards (such as ISO/IEC 11179-5).
• Reverse-engineer and analyze legacy operational systems-including mainframe environments-to support target-state modernization and seamless data integration.
• Partner with solution architects, application engineers, business SMEs, and data integration teams to maintain end-to-end traceability between business concepts, logical models, physical schemas, and event streams.
• Review database and schema designs to verify data integrity, normalization tradeoffs, history/effective dating structures, and compliance with enterprise security and governance policies.
• Facilitate modeling working sessions to translate complex transportation business rules into reusable, consistent technical definitions across systems., * Remote arrangement with required travel to Washington, DC, Wilmington, DE, or Philadelphia, PA for project milestones if required by business needs.
• In-person attendance at quarterly Program Increment (PI) Planning sessions is mandatory; client provides rail travel, lodging, and approved meal allowances in accordance with company travel policies.

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Last Updated: May 6th, 2026

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1. Termination

Data Modeling, Data Modeling, Mainframe Computer, Interoperability, NoSQL, Application Programming Interface (API), ISO (International Organization for Standardization), International Electro-Technical Commission (IEC), Information Models, Reverse Engineering, * Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical discipline.

• 8+ years of hands-on data modeling experience designing enterprise conceptual, logical, and physical schemas for mission-critical, highly integrated transactional or operational systems.
• Proven mastery of data modeling fundamentals, including grain definition, key strategies, normalization/denormalization trade-offs, constraints, temporal/effective dating, and state management across both Relational and NoSQL platforms.
• Hands-on experience with Kafka and Confluent Schema Registry, with practical knowledge of subjects, schema evolution rules, compatibility modes, and reusable event contracts.
• Demonstrated track record establishing governed semantic naming standards, metadata dictionaries, and enterprise data models (exposure to ISO/IEC 11179-5 principles preferred).
• Strong understanding of distributed architectures, middleware, API integration, and hybrid legacy-to-cloud migration patterns (mainframe exposure is a plus).
• Domain experience in transportation, railroad, logistics, transit, aviation, or utilities is strongly preferred.
• Excellent communication, documentation, and stakeholder facilitation skills.