Job Summary

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.

Key Responsibilities

Strategy & Leadership

• Provide overall strategic guidance for the data engineering roadmap, ensuring alignment with organizational objectives.
• Lead and mentor a data team, fostering a collaborative and high-performing culture to achieve strategic goals.
• Identify and present the business benefits and value propositions of potential data and AI use cases to stakeholders.
• Review and enhance the data team's operational model in conjunction with stakeholders to optimize efficiency and impact.

Technical Architecture & Development

• Build a scalable data framework using modern Azure technologies, including Azure Data Factory, Databricks, Azure Synapse, and Microsoft Fabric, to support downstream applications.
• Refactor redundant and low-efficiency code from legacy systems or vendors, including data pipelines, PySpark, SQL, and shell scripts.
• Oversee the implementation of AI solutions, to provide data analysis self-service capabilities.
• Ensure the data architecture incorporates core data management competencies, including data governance, data quality, and data security.

Team Coordination & Communication

• Coordinate and oversee the offshore team in Mainland China, ensuring project goals and timelines are met.
• Facilitate effective communication and collaboration between onshore and offshore teams and with other departments.
• Act as a technical liaison, translating complex data concepts for business stakeholders and guiding the team to deliver user-centric solutions.

Qualifications

• Bachelor's degree in a STEM field (Science, Technology, Engineering, or Mathematics) or equivalent experience.
• A minimum of 7+ Years of experience in data engineering, with demonstrated exposure to data science and analytics principles.
• Proven experience providing strategic direction and implementing complex data and AI solutions.
• Hands-on expertise with Azure data services, including Azure Data Factory, Databricks (PySpark), Azure Synapse, and Microsoft Fabric.
• Experience with other relevant technologies, such as SQL Server Integration Services (SSIS), MongoDB, and modern orchestration tools.
• Strong analytical, problem-solving, and leadership skills, with the ability to manage complex projects and mentor junior team members.
• Exceptional communication and stakeholder management skills, with the ability to influence and build consensus across different groups.