Data Solutions Architect

As data architect you will work closely with business stakeholders, business analysts and data engineers to implement the different levels of data models. You will drive architecture of enterprise analytics platforms to deliver scalable implementations using the latest cloud technologies.

• Assist in the design and implementation of data architecture
• Provide thought leadership and drive architecture of enterprise analytics platforms, customer platforms, and other solutions to deliver scalable implementations using the latest cloud technologies in AWS/Azure/GCP, BI platforms like Fabric and Snowflake
• Work with various data stakeholders to understand the respective requirements in terms of functionality and the use of data concepts
• Translate business goals and use cases into technical solutions to deliver actionable insights for various business processes, especially in the area of sales, finance, e-commerce, manufacturing/logistics, banking or CRM
• Become the technical SPoC for all stakeholders, including C-level executives
• Helping business/data analysts in the definition of specifications and define data mappings
• Apply effective governance methods for long-term scalability, high availability, fault tolerance, and solution elasticity in alignment with enterprise architecture, security and infrastructure guidelines and standards
• Provide supervision and guidance to the implementation team (data engineers, data scientists, BI consultants, ..) to ensure the project is implemented as per business requirements
• Support pre-sales by proposing a technical solution and effort estimates

• Bachelor’s or Master’s Degree in a technology-related field (e.g. Engineering, Computer Science, IT, etc.)
• 3+ years experience in design and build of data solutions
• CRM data modelling
• Large-scale Data Lake / Datawarehouse (DWH) solutions
• Big data pipelines / ETL / APIs (data ingestion, processing, transformation and activation) development, preferably in cloud-based tools/infrastructure
• Business Intelligence projects, using BI tools like PowerBI, Tableau, and other
• Machine Learning and AI oriented solutions
• A minimum of 5 years of experience with Entity Relationship Models, Data Modeling techniques and Methodologies
• Understanding data concepts and patterns (Data Mesh, Data Lake, Master Data Management, data quality, lambda architectures, streaming processing)
• Having a good business acumen, especially in sales, finance, e-commerce, manufacturing/logistics, banking or CRM areas
• Proficient in architecture methodologies and tools like diagraming (draw.io, Sparks EA, Confluence) and standards (Archimate, TOGAF)
• Strong technical leadership, mentorship and collaboration
• Strong project management and organizational skills

• Proven track of handling large Architecture Review Board discussions
• Strong knowledge with SQL
• Experience with full software development lifecycle (CI/CD), including development skills using programming languages like Python/Java/Scala/C++ and relational/NoSQL databases
• Experience in Data Modeling tools such as ER/Studio, Orbus, Oracle Data Modeler, Erwin Modeler, Power Designer, or similar
• Good knowledge of metadata management
• Experienced with Agile methodologies (SCRUM, SAFE)
• Written and spoken French

• Global Perspective: collaborate with over 70,000 talented colleagues across 145 countries
• Flexibility & Balance: Enjoy hybrid work models, adaptable hours, and home office options
• Competitive salaries
• Volunteer days
• Wellness days
• Modern offices
• Multi-cultural environment
• Training
• Mentorship

Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.