SCM Senior Solution Designer – Data & Web Apps

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