Тип вакансії: Повна зайнятість

Розташування:

ZentixSoft is looking for a Senior Data Solutions Consultant / Solution Architect!

Format: Project-Based / Hourly Engagement (Remote).

Why ZentixSoft?
Fair Compensation: Transparent hourly/project-based rates for expert consulting hours.
Work-Life Balance: Flexible scheduling tailored around your primary availability.
Trust & Freedom: Pure professional autonomy with zero micromanagement and no time-trackers.
Culture & Community: A collaborative environment where your architectural decisions directly drive business outcomes.

Project & Role Overview:
You will support our technical and presales teams during the discovery and solution design phase of a complex product data management initiative (handling legacy data sources, supplier onboarding, taxonomy, attribute mapping, and multi-system synchronization).
Discovery & Workshops: Participate in client-facing discovery sessions and technical workshops to unpack legacy architecture and business constraints.
Architecture Design: Analyze product-data flows, identify systems of record, and distinguish between integration/ETL challenges versus semantic data-mapping issues.
Roadmap & Strategy: Define realistic target architecture options, phased implementation roadmaps, and potential pilot use cases.
PIM / MDM & AI Integration: Evaluate approaches for supplier data onboarding, taxonomy harmonization, and assess where AI/LLM automation adds real value vs. deterministic rules/governance.
Proposal Support: Help formulate solution proposals, architecture diagrams, and technical recommendations for business and technical stakeholders.

Our Perfect Match (Requirements):
Domain Experience: 5+ years of hands-on experience in data architecture, system integrations, and solution design.
PIM / MDM / Product Data Expertise: Strong background in Product Information Management (PIM), Master Data Management (MDM), product taxonomy, attribute mapping, and supplier onboarding.
Platform Exposure: Experience with platforms such as Akeneo, Salsify, Stibo Systems, Informatica, Contentserv, Pimcore, or inriver (or similar product catalog ecosystems).
Technical Integration & Data Quality: Familiarity with ERP/PIM/e-commerce integrations, product data standards (e.g., BMEcat), data deduplication, golden-record concepts, and legacy SQL/Access environments.
Modern Tech Evaluation: Understanding of AI/LLM-assisted data classification and automated mapping techniques.
Consulting & Communication: Proven experience leading technical workshops with clients, with Fluent / Confident English for client-facing communication.

Engagement Details:
Format: Project-based / Hourly consulting that can be easily combined with your full time occupation.
Location: 100% Remote.
We look forward to reviewing your profile

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