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.
Responsibilities:
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
Cross‑Functional Collaboration:
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.
Academic Qualifications / Professional Experience
- 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
- (Azure preferred, but equivalent experience is valuable)
- Bilingual Japanese/English preferred.
Preferred (Nice to Have)
- 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
Technical Competencies
· Data Engineering (SQL, Python, Spark)
· Data Modeling (dimensional/semantic modeling)
· DevOps (CI/CD, automated testing, release pipelines)
· Cloud-Based Deployment (production deployments on cloud platforms; Azure preferred)
· Architecture & Design (HLD/LLD, scalable solution patterns)
· Integration & APIs (data integration patterns, API-based connectivity)
· Security & Compliance (secure design, access control, secrets management)
· Delivery Leadership (technical backlog ownership, design reviews, UAT/release readiness)
Behavioral Competencies
• 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
