Data Solutions Architect

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The role is for a Data Architect responsible for designing and implementing data architecture. The candidate will collaborate with business stakeholders, analysts, and data engineers to develop data models and scalable enterprise analytics and customer platforms using cloud technologies (AWS, Azure, GCP) and BI tools (Fabric, Snowflake). Responsibilities include translating business goals into technical solutions for sales, finance, e-commerce, manufacturing/logistics, banking, or CRM, serving as a technical point of contact for stakeholders including C-level executives, defining data specifications and mappings, applying governance for scalability and reliability, supervising implementation teams, and supporting pre-sales technical proposals. Requirements include a Bachelor’s or Master’s degree in a technology-related field, 3+ years in data solution design and build, experience with CRM data modeling, large-scale data lakes/data warehouses, big data pipelines/ETL/APIs preferably in cloud environments, BI projects with PowerBI/Tableau, machine learning/AI solutions, 5+ years with entity relationship models and data modeling methodologies, understanding of data concepts (Data Mesh, Data Lake, MDM, data quality, lambda architectures, streaming), strong business acumen in relevant industries, proficiency in architecture methodologies and tools (draw.io, Sparks EA, Confluence, Archimate, TOGAF), technical leadership, project management skills, and preferred skills including SQL, software development lifecycle (CI/CD), programming (Python, Java, Scala, C++), data modeling tools, metadata management, Agile methodologies (SCRUM, SAFE), and French language proficiency. The position offers hybrid work options, competitive salary, volunteer and wellness days, modern offices, a multicultural environment, training, mentorship, and global collaboration opportunities.