Practice Head_AL/ML

You will be responsible for providing strategic leadership by developing and implementing a vision for the data engineering practice in alignment with the company's goals and objectives. You will drive the adoption of best practices and ensure alignment with industry trends and emerging technologies. Collaboration with senior leadership and other departments to integrate data engineering solutions into broader business strategies will be essential. As a leader, you will be managing a high-performing team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement. Your role will involve overseeing recruitment, development, and performance management of data engineering talent. In terms of data architecture and engineering, you will design and implement scalable data architectures to ensure data integration, quality, and security. Overseeing the development and optimization of data pipelines, ETL processes, and data storage solutions will be a key aspect of your responsibilities. You will also be responsible for ensuring the effective use of data engineering tools, technologies, and frameworks. Project management is a crucial part of the role, where you will manage and prioritize multiple data engineering projects to ensure timely and successful delivery. Coordination with project managers, data scientists, and other stakeholders will be necessary to align project goals and deliverables. Establishing and enforcing data governance policies and practices to ensure data integrity, security, and compliance with relevant regulations will be part of your responsibilities. Monitoring data quality metrics and implementing strategies to address data issues will also be important. Staying updated on industry trends, emerging technologies, and best practices in data engineering will be essential. You will be expected to drive continuous improvement initiatives to enhance data engineering processes and methodologies. Overall, you will play a critical role in leading the data engineering practice within the organization and contributing to its strategic goals and objectives.,