Join our dynamic Technology & Transformation practice as a Senior Consultant specializing in Data Modelling Architecture. You will be instrumental in helping clients leverage vast datasets to drive informed decision-making and achieve a competitive edge. Our practice focuses on business intelligence, data management, performance management, and advanced analytics, including big data, cloud, cognitive, and machine learning solutions.

This role offers a unique opportunity to shape data strategies and implement cutting-edge solutions within the financial services sector. You will work with diverse data sources, transforming them into actionable insights that support critical business functions.

Lead the design, development, and deployment of sophisticated data models and architectures. Translate complex business requirements into robust, scalable data solutions for financial services clients. Ensure data integrity, governance, and efficient provisioning across enterprise systems and cloud platforms. Collaborate closely with stakeholders to understand needs and deliver high-impact data strategies. Mentor junior team members on best practices in data modeling and architecture.

Key responsibilities include creating and maintaining logical and physical data models, ensuring alignment with business objectives and regulatory requirements. You will also contribute to enterprise data strategy and governance frameworks.

This senior position demands over 15 years of comprehensive experience, with a significant portion dedicated to data modeling and architecture, specifically within the financial services industry, preferably in Private or Retail Banking. A deep understanding of financial products, processes, and the data lifecycle is essential. Expertise in relational, dimensional, and modern data modeling techniques, coupled with experience in diverse data structures and platforms (including cloud environments like GCP, Azure, AWS), is required.

Proficiency with leading data modeling tools such as Power Designer, ER/Studio, or Erwin is crucial. You must possess strong stakeholder management skills and a solid grasp of database and Big Data technologies. A B.Tech/BE in Computer Science or Information Technology is preferred.