Lead Data Engineer

We are seeking an experienced and dynamic Lead Data Engineer to join our team. This role offers a unique opportunity to lead and mentor a talented team of data engineers, drive the design and implementation of scalable data solutions, and play a key role in shaping our data infrastructure and strategy.

Requirements

• Team Leadership: Provide technical leadership and mentorship to a team of data engineers, fostering a collaborative and innovative environment focused on delivering high-quality solutions.
• Architectural Design: Lead the design and implementation of scalable, robust, and maintainable data architectures, ensuring alignment with business goals and future scalability requirements.
• Data Pipeline Development: Oversee the development and optimization of ETL pipelines to extract, transform, and load data from diverse sources into data warehouses and other storage systems.
• Data Modeling: Define and implement data models and schemas to support business requirements, optimizing for performance, flexibility, and scalability.
• Data Governance and Quality: Establish and enforce data governance policies and best practices to ensure data quality, integrity, and security across all data assets.
• Technological Innovation: Stay abreast of emerging technologies and trends in data engineering and analytics, evaluating their potential impact and leading initiatives to adopt relevant technologies.
• Cross-Functional Collaboration: Collaborate closely with data scientists, analysts, and business stakeholders to understand data requirements, deliver actionable insights, and drive data-driven decision-making.
• Performance Optimization: Monitor and optimize data pipelines, databases, and data processing systems for performance, scalability, and efficiency, identifying and addressing bottlenecks and optimization opportunities.
• Documentation and Best Practices: Develop and maintain documentation, standards, and best practices for data engineering processes, ensuring knowledge sharing and maintainability.
• Project Management: Lead data engineering projects from conception to completion, including project planning, resource allocation, and stakeholder communication.