SCM Senior Solution Designer – Data & Web Apps

必須

• Bachelor’s degree in Engineering, Information Systems, Computer Science, Business Administration or related field.
• 7–10+ years in solution/enterprise architecture across data & web, preferably FMCG/Supply Chain.
• Strong hands-on experience with SQL + Python, spark in Data Engineering
• Proven ability to design scalable, production-grade pipelines
• Strong experience with analytics-ready data modeling
• Ability to translate business needs into scalable data structures
• Understanding of secure deployment practices and engineering controls
• Familiarity with automated testing, release pipelines, and production readiness
• Proven delivery and deployment experience on cloud platforms

歓迎

• (Azure preferred, but equivalent experience is valuable)
• Bilingual Japanese/English preferred.
• SAP knowledge (SAP ECC/S/4HANA, BW, SAP data structures, SAP integrations)
• Strong experience with Application Development Lifecycle Management (ADLM / ALM)requirements → design → build → test → release → operate
• Change/release management, versioning, operational handover

求める人物像

• Business & value mindset – designs solutions that deliver measurable SCM outcomes, not just features
• End-to-end ownership – accountable from requirements → design → build oversight → release → run/support readiness
• Strategic / systems thinking – anticipates future needs; builds reusable patterns and scalable architectures
• Stakeholder management – clarifies ambiguity, manages expectations, communicates trade-offs clearly
• Influencing without authority – aligns cross-functional teams (data, apps, BI, infra, governance) to a shared direction
• Clear communication – explains complex architecture simply; produces crisp decisions, HLD/LLD, and rationale
• Execution discipline – drives predictable delivery, prioritization, and quality gates while maintaining velocity
• Analytical problem solving – structured root-cause thinking; evidence-based decisions
• Collaboration & technical leadership – coaches teams through design reviews; raises engineering standards
• Quality & operational mindset – designs for reliability, monitoring, security, and maintainability from day one
• Adaptability / learning agility – adjusts to changing priorities; quickly ramps on new tools and platforms
• Integrity & risk awareness – proactively flags security/data risks and ensures compliance-by-design

使用ツール

Job Purpose

• Provide end‑to‑end solution architecture and technical leadership for data platforms and web applications supporting SCM. Own design standards, guide delivery teams (Data Engineers, Full Stack & Frontend Developers), and ensure secure, scalable, and maintainable solutions aligned with business priorities.

Requirements & Value Delivery

• Partner with business stakeholders to understand, clarify, and refine requirements
• Convert business needs into clear technical product specifications
• Ensure solutions deliver measurable value and are designed for future scalability and expansion

Architecture & Design:

• Define target architectures (data lakehouse, semantic layer, APIs, front‑end patterns)
• Produce HLD/LLD, non‑functional requirements.

Data Engineering Leadership (Hands-on depth)

• Lead design and oversight of robust data pipelines and platforms using:
• SQL, Python, Spark
• Oversee:
• ELT/ETL patterns and orchestration
• Data quality controls, monitoring, and reliability
• Data Models that support analytics and AI/ML readiness

Web Applications Oversight (End-to-End Delivery)

• (You may not code daily, but you will own the delivery quality and architecture.)
• Partner with developers using:
• React.js
• Power Apps, Power Automate, Power Pages
• Azure Functions
• Dataverse
• Ensure end-to-end quality across UI, API, and data layers

Delivery Leadership:

• ·        Own technical delivery practices including: CI/CD pipelines
• ·        Secure engineering and deployment standards
• ·        Release readiness, UAT coordination, go-live planning
• ·        Build operational excellence through Runbooks, documentation, support readiness

Work closely with:

• ·        SCM Analytics / Integration / Process Improvement Lead
• ·        SCM BI & Governance leadership
• ·        Data Scientists and Hub/DNA teams (MLOps/DevOps/Infrastructure)

Maintain standards for:

• ·        Documentation, coding guidelines, design patterns
• ·        Data catalog, business rules, data logic stewardship

KPIs

• ·        On‑time delivery of designed solutions; architecture compliance rate.
• ·        Production reliability (availability, incident MTTR), performance benchmarks.
• ·        Reduction of technical debt; reuse of components/patterns.
• ·        Stakeholder satisfaction and business value realization.

Reports to

• Head of SCM Data & Digital Solutions Department

Key Stakeholders:

• SCM, DNA, business users, Digital Transformation teams.