Principal Enterprise Architect – Estimation Systems

SmartIPlace

  • Washington, DC
  • 2 days ago

    Highlights

    Client is seeking a high-caliber Principal Enterprise Architect Estimation Systems to serve as a key technical authority driving the R&D, design, and long-term evolution of advanced estimation platforms for a leading rail transportation client in the Washington, D.C. area. Modern Stack Proficiency: Deep technical knowledge of event-driven architectures, microservices, distributed systems, Java/Spring Boot, and real-time data frameworks alongside legacy systems (IBM Mainframe/TPF).

    Numbers & Facts

    LocationWashington, DC

    Description

    Hi,

    I hope you are doing well.

    Please find the job details below:

    Job Title: Principal Enterprise Architect Estimation Systems
    Location: Washington, DC


    Requirement:

    Client is seeking a high-caliber Principal Enterprise Architect Estimation Systems to serve as a key technical authority driving the R&D, design, and long-term evolution of advanced estimation platforms for a leading rail transportation client in the Washington, D.C. area. Sitting at the intersection of enterprise architecture leadership and advanced computational science, this role requires deep expertise in physics-based modeling, statistical algorithms, and real-time data processing. You will lead cross-functional engineering teams through major legacy-to-modernization transformations-bridging mainframes with modern cloud-native, event-driven architectures-while aligning solutions with enterprise standards (TOGAF, BizBOK, DAMA-DMBOK) across operational, planning, and financial domains.

    Key Responsibilities

    Architecture & Technical Leadership: Architect and evolve scalable, high-accuracy estimation platforms utilizing event-driven microservices, real-time data processing, and distributed systems patterns.
    R&D & Algorithmic Innovation: Drive R&D initiatives applying advanced mathematics, statistics, optimization algorithms, and physics-based simulation models to solve complex, domain-specific estimation challenges.
    Enterprise Standards & Governance: Establish and enforce enterprise architecture standards aligned with frameworks such as TOGAF, BizBOK, and DAMA-DMBOK within a SAFe (Scaled Agile) environment.
    Domain & Solution Modernization: Lead large-scale rail transportation modernization efforts, designing integrated solutions that address complex multi-domain business challenges spanning operations, planning, and finance.
    Legacy-to-Cloud Transformation: Formulate and execute transition strategies migrating legacy platforms (IBM Mainframe, TPF) to modern, cloud-native tech stacks (Java, Spring Boot).
    Stakeholder & Technical Guidance: Act as the primary technical advisor to senior business and engineering leaders, translating complex requirements into architectural roadmaps while mentoring junior architects and engineers.

    Qualifications & Requirements

    Education: Bachelor's degree in Computer Science, Engineering, Applied Mathematics, Physics, or a related quantitative field (Master's degree preferred).
    Experience: 15+ years of total IT experience, including 10+ years in senior enterprise or systems architecture roles.
    Domain Expertise: Proven track record delivering enterprise-scale architecture solutions within the rail transportation industry.
    Computational Depth: Demonstrated experience designing complex estimation, statistical, optimization, or physics-based modeling systems.
    Modern Stack Proficiency: Deep technical knowledge of event-driven architectures, microservices, distributed systems, Java/Spring Boot, and real-time data frameworks alongside legacy systems (IBM Mainframe/TPF).
    Frameworks & Agile: Working experience with enterprise frameworks (TOGAF preferred, BizBOK, DAMA-DMBOK) and 5+ years of experience operating within SAFe or equivalent Agile-at-scale environments.
    Leadership & Communication: Outstanding problem-solving ability with proven success influencing executive stakeholders and leading cross-functional engineering teams.

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