<p><strong>Job Summary</strong></p><p>We are seeking a highly experienced and strategic Data Engineering Lead to oversee the data engineering team and drive the implementation of advanced data and AI initiatives. The ideal candidate will have a strong background in data engineering, with significant exposure to data science and analytics, and a minimum of seven years of experience. This role requires a leader who can provide vision and technical guidance, foster a high-performing team culture, and effectively communicate complex data concepts to both technical and business stakeholders.</p><p></p><p><strong>Key Responsibilities</strong></p><p><strong>Strategy & Leadership</strong></p><ul><li>Provide overall strategic guidance for the data engineering roadmap, ensuring alignment with organizational objectives.</li><li>Lead and mentor a data team, fostering a collaborative and high-performing culture to achieve strategic goals.</li><li>Identify and present the business benefits and value propositions of potential data and AI use cases to stakeholders.</li><li>Review and enhance the data team's operational model in conjunction with stakeholders to optimize efficiency and impact.</li></ul><p></p><p><strong>Technical Architecture & Development</strong></p><ul><li>Build a scalable data framework using modern Azure technologies, including Azure Data Factory, Databricks, Azure Synapse, and Microsoft Fabric, to support downstream applications.</li><li>Refactor redundant and low-efficiency code from legacy systems or vendors, including data pipelines, PySpark, SQL, and shell scripts.</li><li>Oversee the implementation of AI solutions, to provide data analysis self-service capabilities.</li><li>Ensure the data architecture incorporates core data management competencies, including data governance, data quality, and data security.</li></ul><p></p><p><strong>Team Coordination & Communication</strong></p><ul><li>Coordinate and oversee the offshore team in Mainland China, ensuring project goals and timelines are met.</li><li>Facilitate effective communication and collaboration between onshore and offshore teams and with other departments.</li><li>Act as a technical liaison, translating complex data concepts for business stakeholders and guiding the team to deliver user-centric solutions.</li></ul><p></p><p><strong>Qualifications</strong></p><ul><li>Bachelor's degree in a STEM field (Science, Technology, Engineering, or Mathematics) or equivalent experience.</li><li>A minimum of 7+ Years of experience in data engineering, with demonstrated exposure to data science and analytics principles.</li><li>Proven experience providing strategic direction and implementing complex data and AI solutions.</li><li>Hands-on expertise with Azure data services, including Azure Data Factory, Databricks (PySpark), Azure Synapse, and Microsoft Fabric.</li><li>Experience with other relevant technologies, such as SQL Server Integration Services (SSIS), MongoDB, and modern orchestration tools.</li><li>Strong analytical, problem-solving, and leadership skills, with the ability to manage complex projects and mentor junior team members.</li><li>Exceptional communication and stakeholder management skills, with the ability to influence and build consensus across different groups.</li></ul>