Principal Architect & Data Engineer
Company Overview
At Motorola Solutions , we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.
Aperçu de l’entreprise
Chez Motorola Solutions , nous pensons que tout commence par nos employés. Nous sommes une communauté mondiale soudée, unie par la volonté incessante de contribuer à la sécurité des personnes partout dans le monde. Nous concevons et connectons des technologies qui contribuent à protéger les personnes, les biens et les infrastructures. Nos solutions favorisent la collaboration essentielle pour améliorer la sécurité des populations, des écoles, des hôpitaux, des entreprises et, finalement, des nations. Connectez-vous à une carrière qui compte et aidez-nous à bâtir un avenir plus sûr.
Department Overview
Our team operates within the Enterprise Data Intelligence (EDI) division of the IT department. We are responsible for the management and optimization of our centralized data warehouse ecosystem—encompassing hardware resources, software licensing, and application support—as well as the end-to-end administration of our Tableau infrastructure.
Job Description
We are seeking a Principal Architect & Data Engineer to serve as the technical visionary and master builder for our next-generation data ecosystem. You will lead the strategy and execution required to unify our current data silos into a high-performance, Federated Enterprise Data Intelligence platform.
In this role, you will balance the "heavy lifting" of massive-scale engineering with the "high-level" strategy of agentic AI and executive-level roadmapping. You will be responsible for creating an environment that provides business units with autonomous "sub-lake" capabilities while maintaining a single, governed enterprise source of truth.
Key Responsibilities
1. Unified Architecture & Engineering
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Data Lakehouse Evolution: Architect the consolidation of disparate storage and compute environments into a unified, high-performance Lakehouse architecture (supporting Iceberg/Delta Lake).
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Agentic Frameworks: Scale and refine our internal agentic platform and registry, ensuring it is robust, model-agnostic, and enterprise-ready.
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Federation & Governance: Design a "Data Mesh" that enables business units to innovate independently within pre-defined guardrails and "Data Zones."
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Data Trust & Observability: Define the standards, contracts, and observability metrics that make structured and unstructured data trustworthy, discoverable, and easy to consume in both batch and near-real-time contexts.
2. Technical Leadership & Mentorship
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Engineering Excellence: Set the global standard for high-performance query analytics, data modeling, and "Zero-Copy" architecture patterns.
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Coach & Develop: Serve as a formal mentor to intermediate and senior data architects and engineers, fostering a culture of technical rigor, automation, and continuous professional development.
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Lead by Influence: Guide technical delivery across federated teams, ensuring decentralized projects align with centralized enterprise architectural standards.
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Technical Direction: Serve as the lead technical resource on the team, heavily influencing decisions regarding tools, implementation, design, and workflows.
3. Executive Communication & Business Alignment
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Sr. Leadership Advisory: Present complex architectural roadmaps, ROI projections, and security risk assessments clearly to the Senior Leadership Team (SLT) and the Board.
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Strategic Mapping: Partner with business leaders to ensure that every data product and ML model directly maps to corpor