Data Architect - Pasig - UnionBank of the Philippines

    UnionBank of the Philippines
    UnionBank of the Philippines Pasig

    1 araw ang nakalipas

    ₱900,000 - ₱1,800,000 (PHP) bawat taon * Banking / Loans
    Paglalarawan

    Role Summary

    The Data Architect supports the refinement and application of the Bank's enterprise data architecture framework, ensuring scalable, secure, high‑quality, and compliant data foundations. Working within the Data & AI Architecture group, the role contributes to the design of reusable data platforms and data products that enable analytics, AI, and GenAI use cases, while collaborating with AI architects as the enterprise AI architecture capability continues to mature. This position partners with business, engineering, governance, and risk teams to provide practical architecture guidance that accelerates value delivery while upholding reliability and compliance.

    Key Responsibilities

    Data Architecture

    • Contribute to maintaining and evolving the enterprise data architecture blueprint, including data platforms, data products, integration patterns, data models, and data flows.
    • Support evaluation and standardization of data platforms, tooling, and architectural patterns aligned with enterprise standards and data governance requirements.
    • Support architecture reviews and governance forums by preparing design artefacts and ensuring solutions align with enterprise architecture, security standards, regulatory requirements, and data management policies.
    • Support integration of data architecture solutioning into enterprise delivery and AICoE/DSAG processes to provide timely, AI‑ready data architecture input from early design through execution.

    Solution Design & Delivery

    • Design end‑to‑end data solution architectures across the data lifecycle—from source onboarding and integration to data serving and consumption—aligned with enterprise standards.
    • Apply reusable data patterns and components (data products, canonical/semantic models, integration/streaming patterns, metadata/lineage, and access layers).
    • Design data products for reuse and discoverability; support monitoring of adoption/usage to promote reuse before build and reduce duplication.
    • Provide architecture support to resolve issues across performance, data quality, lineage, and integration dependencies.
    • Deliver assigned architecture outputs on scope, quality, and agreed timelines/SLAs, escalating risks and dependencies as needed.
    • Contribute to AI/GenAI solution design where required as part of the group's ongoing convergence of data and AI architecture capabilities.
    • Perform proof-of-concept and/or proof-of-value activities and well as drive pilot projects of emerging data management (with AI) platforms and technologies to accelerate adoption by the business teams.

    Governance, Risk, & Compliance

    • Apply data architecture standards and guardrails across the data lifecycle, including quality, lineage, documentation, privacy, and appropriate use requirements.
    • Work with Data Governance, Cybersecurity, Privacy, and Risk teams to ensure data solutions comply with regulatory requirements, internal controls, and enterprise risk frameworks.
    • Support adherence to enterprise data governance frameworks through design guidance, evidence preparation, and review follow‑through.

    Stakeholder & Cross-Functional Collaboration

    • Work with business units and delivery teams to translate data needs into solution architectures and roadmap inputs that support analytics, AI, and GenAI use cases.
    • Collaborate with Engineering, Cloud, Security, and AI teams to integrate data platforms and data products with enterprise and AI solutions.
    • Participate in Architecture Review Boards and technical councils, providing data architecture inputs and supporting cross‑domain decisions.

    Professional Development

    • Contribute to knowledge sharing by documenting patterns, lessons learned, and reusable assets across data and AI architecture domains.
    • Continuously upskill in modern data platforms, streaming, data product practices, and governance standards.

    Qualifications

    • Bachelor's degree in a relevant field; cloud/data certifications are a plus.
    • 2+ years in data engineering, solution design, or architecture roles (or equivalent experience); experience in regulated industries preferred.
    • Working knowledge of data modeling, integration patterns, metadata/lineage, data governance, and AI‑ready data architectures.
    • Strong communication, analytical, and documentation skills.
    • Experience with modern enterprise data platforms, streaming technologies, data product practices, and cataloging/discovery capabilities is preferred.

    Success Metrics

    • High-quality AI architecture designs delivered on time and aligned with enterprise standards.
    • Increased reuse of approved AI patterns and components across initiatives.
    • Strong compliance with responsible AI, security, and governance requirements.
    • Positive stakeholder feedback on architecture support and collaboration
    * Ang saklaw ng suweldo na ito ay isang pagtatantya na ginawa ng beBee
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