Director Head of Data Engineering India

As the Director Head of Data Engineering for India, your primary responsibility is to build and maintain the Data strategy for Singapore implementation. Your role involves defining and executing the data engineering strategy aligned with Business Goals and technology roadmaps. Collaborate with the CDO/COO to understand the CDE, define controls around CDE, implement data design principles and patterns, design efficient data pipelines, ensure data quality and integrity, collaborate with data science and analytics teams, scale data solutions, oversee data security and compliance, continuously learn and implement the latest technologies, manage and train the data engineering team, implement cloud migration for the data with proper hydrations, budgeting and resource allocation, implement Data Products, understand different regulations and controls to ensure high-quality ref data, and manage data reconciliation effectively. - **Build and maintenance of data architectures pipelines for transferring and processing durable, complete, and consistent data - Design and implementation of data warehouses and data lakes that manage appropriate data volumes, velocity, and adhere to required security measures - Develop processing and analysis algorithms suitable for intended data complexity and volumes - Collaborate with data scientists to build and deploy machine learning models - **Significant experience in data engineering, architecture, and management - Strong leadership skills with the ability to manage and develop a high-performing team - Expertise in defining and implementing data design principles and patterns - Proficiency in ensuring data quality, integrity, security, and compliance - Knowledge of cloud migration strategies and implementations - Budgeting and resource allocation experience - Understanding of regulations and controls related to data management - Proven track record of overseeing data infrastructure and driving data-driven initiatives - Excellent communication and collaboration skills to work with cross-functional teams and executive leadership The successful candidate should be a powerful, passionate advocate of Barclays values and principles to ensure that the team takes the lead in delivering service and providing information to support the enduring purpose, delivering sustainable competitive advantage. Show leadership in effective data management, compliance, and analytics for supporting business goals, enhancing customer experiences, and driving operational efficiencies in line with agreed Private Bank and Wealth Management targets. Oversee the recruitment, training, and professional development of the data engineering team and foster a collaborative and innovative environment to drive high performance. Provide strategic guidance, mentorship, and thought leadership for the data team to stay ahead of technological trends and best practices. Collaborate with executive leadership to define how data initiatives support the bank's growth, profitability, and risk management. Ensure that data engineering efforts translate into actionable insights for the business, optimization, risk assessment, and market trends. Oversee budgeting for data-related initiatives, allocate resources efficiently, and deliver projects within budget constraints. Define and track performance indicators for the data engineering team and infrastructure to ensure continuous improvement in system uptime, data accuracy, and processing efficiency.,