Practice Lead - Data Engineering

As a Data Engineering Manager, you will be responsible for leading and overseeing a team of data engineers. Your role will involve defining the overall data architecture strategy, building scalable data pipelines, ensuring data quality and governance, collaborating with cross-functional teams to drive data-driven decision making, and managing the technical roadmap for data engineering initiatives within the organization. To excel in this role, you will need extensive experience in data engineering technologies, strong leadership skills, and a deep understanding of business needs to translate them into technical solutions. Your key responsibilities will include: Strategic Leadership: - Developing and executing a comprehensive data engineering strategy that aligns with business objectives, encompassing data architecture, data pipelines, and data governance policies. - Defining the long-term vision for data infrastructure, identifying opportunities for modernization and innovation. - Collaborating with senior stakeholders across departments to comprehend data needs and translating them into actionable data engineering plans. Team Management: - Building, leading, and mentoring a high-performing team of data engineers, which includes recruiting, performance management, and career development. - Fostering a culture of collaboration, innovation, and continuous improvement within the data engineering team. - Establishing clear technical standards, best practices, and coding guidelines for data engineering projects. Technical Execution: - Designing and implementing scalable data pipelines for data ingestion, transformation, and loading (ETL/ELT) across various data sources. - Architecting and managing data warehouses, data lakes, and other data storage solutions on cloud platforms such as AWS, Azure, and GCP. - Overseeing the development and maintenance of data quality monitoring systems to ensure data accuracy and reliability. In this role, you will play a crucial part in shaping the data engineering landscape of the organization, driving innovation, and enabling data-driven decision-making processes. Your leadership and technical expertise will be instrumental in the success of data engineering initiatives and the overall achievement of business objectives.,