- Company Name
- WILLING
- Job Title
- PARIS - Consultant Data Senior F/H
- Job Description
-
**Job Title**
Senior Data Consultant (Paris)
**Role Summary**
Serve as a trusted advisor to clients, guiding the end‑to‑end implementation of data strategies and modern data platform architectures. Design, build, and optimize data solutions encompassing data lakes, warehouses, ETL/ELT pipelines, and advanced analytics use‑cases (BI, ML, AI). Lead technical audits, strategic recommendations, and client training while collaboratively shaping project scope with internal teams.
**Expectations**
- Deliver scalable, secure, and high‑performance data architectures.
- Translate business needs into actionable data and AI solutions.
- Drive long‑term data strategy and technology roadmap.
- Mentor client teams and internal staff on best practices.
- Contribute to business development, commercial proposals, and team management.
**Key Responsibilities**
1. Design and deploy modern data platforms (data lakes, warehouses, cloud services).
2. Build robust data pipelines (Spark, Hadoop, Kafka, Python, etc.) and ETL/ELT processes.
3. Develop BI dashboards and reporting tools (Power BI, Tableau).
4. Create and operationalize advanced analytics solutions (ML models, generative AI).
5. Conduct technical and functional audits of existing data solutions.
6. Advise on mid‑/long‑term data strategy, aligning technology trends with business goals.
7. Deliver client training and capacity building.
8. Lead cross‑functional project teams; apply agile methodologies (Scrum, Kanban).
9. Support sales activities: opportunity qualification, proposal drafting, and client engagement.
10. Participate in recruitment, evaluation, and skill‑gap analysis for internal talent.
**Required Skills**
- **Technical**: Data architecture (Lake, Warehouse, ETL/ELT), cloud platforms (AWS, Azure, GCP, or private cloud), data engineering (Spark, Hadoop, Kafka, Python), BI (Power BI, Tableau), ML & AI model deployment (including generative AI).
- **Project Management**: Agile frameworks, complex project delivery, stakeholder coordination.
- **Soft Skills**: Clear communication, analytical problem solving, client relationship management, independence, proactivity, leadership, team development.
**Required Education & Certifications**
- Minimum bachelor's degree in Computer Science, Information Systems, Data Science, or related field.
- Professional certifications in cloud (AWS Certified Solutions Architect, Azure Solutions Architect, GCP Professional Data Engineer), data engineering, or analytics are highly desirable.
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