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Data Solutions Consultant / Solution Architect

seniorremoteUAСкор 70/100сегодня
Аналитика рынка
📊 Architecture: зарплаты и спрос на рынке
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llmsql
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Описание
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). , 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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