10+ years of experience in designing and delivering large-scale, enterprise-grade data platforms supporting analytics, AI, and real-time use cases. Holds a Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. Combines deep technical expertise with strong leadership and client-facing capabilities to translate business needs into secure, scalable, and future-proof data architectures.

Technical Skills • Design of enterprise-scale data architectures supporting analytics, AI, and real-time data use cases. • Strong expertise in distributed data processing and storage platforms for high-volume and high-velocity data. • Advanced mastery of cloud-native data services across AWS, Azure, and GCP, including hybrid and multi-cloud setups. • Proven experience building end-to-end data pipelines (with strong reliability and performance constraints. • Solid background in data modeling, data integration, and data lifecycle management for structured and unstructured data. • Strong command of data governance, security-by-design, and regulatory compliance, ensuring trusted and auditable data platforms. • Experience preparing data platforms for advanced analytics, AI, and machine learning production workloads.

Managerial & Client-Facing Skills • Strong managerial and leadership skills, with the ability to guide technical teams and drive architectural decisions. • Excellent client-facing capabilities, including: o Strong ability to translate business needs into scalable data architectures. o Ability to clearly articulate complex technical concepts to non-technical and executive audiences. o Confidence in leading architecture workshops, design authorities, and steering committees. • Strong stakeholder management and communication skills in multi-disciplinary and multi-cultural environments.