We're working with a fast-growing Malaysian start-up consultancy that is redefining digital transformation for clients across sectors. Built on the foundations of world-class consulting principles, this firm delivers solutions with the agility of a start-up and the strategic muscle of firms like Deloitte and Accenture. They are now seeking a hands-on and visionary Data Architect to lead the design and delivery of scalable data solutions. This is a key role for someone who thrives in building from the ground up, enjoys solving complex data challenges, and brings both technical depth and strategic oversight. If you would like to be part of an ambitious consultancy with the freedom and agility of a start-up, work with smart, forward-thinking peers and blue-chip clients, shape the data function from the ground up and influence a broader digital strategy, this is the career opportunity for you! Please contact Priya Bala or email your CV directly in word format with job reference number: Job Id 15312 to Please note that due to the high number of applications only shortlisted candidates will be contacted. If you do not hear from us in the next 5 business days we regret to inform you that your application for this position was unsuccessful. [HIDDEN TEXT] Key responsibilities Design, develop, and implement robust data architectures that meet business and technical requirements. Lead data integration, modelling, and warehousing initiatives using Snowflake, Databricks, and other modern data platforms. Define data standards, governance, and best practices across client engagements. Collaborate with internal teams and client stakeholders to assess data needs and translate them into scalable architecture solutions. Guide and mentor junior data engineers while remaining hands-on in design and implementation. Ensure security, scalability, and performance across all data environments. Maintain a macro view of business and technology trends to inform architecture strategy and future-proof solutions. Role requirements Minimum 5 years of experience in data architecture, data engineering, or similar roles. Proven expertise with Snowflake and Databricks - hands-on implementation is a must. Strong understanding of data modelling, ETL pipelines, cloud data infrastructure (AWS / Azure), and SQL. Ability to bridge technical execution with business context, strategic thinker with a builder's mindset. Experience in a consulting or client-facing environment is an added bonus. Excellent communication and stakeholder management skills.