Data Architect and Team Lead

Key Responsibilities

Team Leadership & Account Management

• Act as the primary point of contact for clients, overseeing account servicing, issue resolution, and resource planning.

• Lead and manage a team of data engineers, including performance management, mentoring, and workload allocation.

• Represent the team in client engagements, including sprint planning and task prioritization sessions.

• Ensure effective communication between technical teams and business stakeholders.

Data Architecture & Platform Design

• Design, develop, and evolve scalable data architectures, including data pipelines, data models, and platform components.

• Document current-state systems, including workflows, dependencies, and configurations, and define future-state architecture strategies.

• Lead proof-of-concept (PoC) initiatives to validate new technologies and architectural approaches.

• Ensure solutions meet performance, scalability, and maintainability requirements.

Data Engineering & Delivery

• Oversee end-to-end data platform development, from design to deployment.

• Provide hands-on guidance in data engineering, data modelling, and platform implementation (Azure, Databricks).

• Drive best practices in DevOps, automation, and ML integration within data workflows.

Quality Assurance & Governance

• Review and validate technical deliverables, including architecture designs, code, and documentation.

• Establish and enforce standards for data governance, testing (SIT), and documentation.

• Ensure consistency, reliability, and quality across all technical outputs.

Technical Support & Continuous Improvement

• Lead troubleshooting efforts and coordinate with vendors or platform providers to resolve technical issues.

• Promote continuous improvement through adoption of emerging technologies such as AI/ML, Agentic AI, and modern data tooling.

Qualifications

• Minimum 8 years of experience in data management and governance.

• Minimum 5 years of hands-on experience in data engineering.

• At least 3 years of experience with Azure and Databricks (development, testing, deployment).

• Minimum 3 years of team leadership and performance management experience.

• At least 2 years of experience in data pipeline design and data modelling.

Skills & Requirements

• Strong hands-on experience in data engineering, data modelling, DevOps, ML automation, and building data platforms end-to-end.

• Familiarity with Azure Data Factory and Power BI is an advantage.

• Proven ability to define and maintain technical documentation standards.

• Strong leadership, communication, and stakeholder management skills.

• Demonstrated interest in emerging technologies (e.g., Azure ecosystem, Databricks, AI/ML, Agentic AI).

• Proven track record of successful project delivery.

• Proficiency in English is required; Cantonese and/or Mandarin is an advantage.

• Strong ability to read, write, and review technical documentation in English.