Senior Data Solutions Architect

Modern Data Architect to lead the design and implementation of next-generation data platforms. Responsible for architecting scalable, cloud-native, and real-time data ecosystems to support advanced analytics, AI / ML, and digital transformation initiatives. This role requires strong leadership, deep technical expertise, and experience across modern data architectures and platforms. Roles & Responsibilities : - Drive discussions with clients teams to understand business requirements, develop Data Models that fits in the requirements - Drive Discovery activities and design workshops with client and support design discussions - Create Data Modeling deliverables and getting sign-off - Develop the solution blueprint and scoping, do estimation for delivery project. Professional & Technical Skills : - 7+ year overall IT experience with 3+ years in Data Modeling - Data modeling experience in Dimensional Modeling and / or 3-NF modeling / No-SQL DB modeling - Should have experience on at least one Cloud DB Design work - Conversant with Modern Data Platform - Work Experience on data transformation and analytic projects, Understanding of DWH.

• Instrumental in DB design through all stages of Data Modeling - Experience in at least one leading Data Modeling Tools e.G. Erwin, ER Studio or equivalent - Any of these add-on skills - Data Vault Modeling, Graph Database Modelling, RDF, Document DB Modeling, Ontology, Semantic Data Modeling - Preferred understanding of Data Analytics on Cloud landscape and Data Lake design knowledge.
• Cloud Data Engineering, Cloud Data Integration - Must be familiar with Data Architecture Principles. Additional Information : - Strong requirement analysis and technical solutioning skill in Data and Analytics - Excellent writing, communication and presentation skills.
• Eagerness to learn new skills and develop self on an ongoing basis.
• Good client facing and interpersonal