Data Platform Engineer Lead | IT & Technology Services | Financial Industry

About the role

Lead, mentor, and coordinate a team of Data Engineers, providing technical direction, reviewing solutions, allocating work, and ensuring engineering quality and timely delivery. Drive the design and implementation of enterprise data platforms, data lakes, lakehouses, and target-state data architectures. Provide hands-on technical leadership for the design, development, automation, and optimization of complex ETL/ELT processes, data migrations, and data pipelines using SQL, PL/SQL, Python, and modern data engineering frameworks.

Key responsibilities

• Lead, mentor, and coordinate a team of Data Engineers, providing technical direction, reviewing solutions, allocating work, and ensuring engineering quality and timely delivery
• Manage delivery across internal engineering teams and external vendors, aligning responsibilities, technical standards, dependencies, deliverables, and timelines
• Work closely with Technical Project Managers, Data Analysts, Data Architects, business stakeholders, and other technology teams to translate business and project requirements into scalable technical solutions
• Drive the design and implementation of enterprise data platforms, data lakes, lakehouses, and target-state data architectures
• Provide hands-on technical leadership for the design, development, automation, and optimization of complex ETL/ELT processes, data migrations, and data pipelines
• Establish and enforce engineering standards covering data quality, security, governance, code quality, architecture, performance, and operational readiness
• Partner with Technical PMs to manage technical priorities, dependencies, risks, issues, and delivery milestones
• Build robust, scalable data foundations that support analytics, machine learning, and Generative AI use cases

About you

• 7+ years of IT/data engineering experience, with proven experience in a senior engineering, technical lead, or data team leadership role
• Demonstrated experience coordinating internal engineering teams and third-party vendors, with strong ownership of technical quality and project delivery
• Strong experience working with Technical PMs, Data Analysts, architects, business stakeholders, and engineering teams throughout the project delivery lifecycle
• Strong hands-on experience with modern data platforms such as Databricks or Microsoft Fabric, and data engineering technologies including SQL, PL/SQL/Oracle, and Python
• Strong knowledge of ETL/ELT, data pipelines, data integration, data migration, data modeling, data lakes/lakehouses, and enterprise data architecture
• Ability to make technical decisions, review engineering approaches, troubleshoot complex issues, establish engineering standards, and guide engineers and vendors toward scalable solutions
• Strong problem-solving, communication, and stakeholder-management skills, with the ability to bridge business requirements, project delivery, and technical implementation
• Strong communication skills in English and Chinese, with Mandarin and/or Cantonese suitable for working across technical teams and stakeholders