Data Tech Lead

Cognizant; Hong Kong; On-site; HKD 480,000 - 600,000; Full time

Job summary

Cognizant is seeking an experienced analytics and operations professional in Hong Kong to execute BAU analytics and data tasks for multiple markets. You will maintain Databricks pipelines, own end-to-end service delivery, and ensure SLA/KPI compliance across applications.

You will manage incidents, coordinate with cross-functional teams including vendors, and drive continuous improvement, governance and reporting. Fluent English and Mandarin are required for stakeholder communication.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline.
• Strong SQL/Python skills for data processing and automation.
• Hands-on Databricks operational experience (notebooks, jobs, monitoring).
• Good SQL skills for analytics and reporting.
• Strong leadership, communication, analytical, and problem-solving skills.
• ITIL, PMP, PRINCE2, Agile, or ServiceNow certifications are advantageous.
• Excellent written and spoken English and Mandarin.

Responsibilities

• Execute BAU analytics and data tasks for assigned markets.
• Maintain SQL/Python-based pipelines and notebooks in Databricks.
• Own end-to-end service delivery and ensure SLA/KPI compliance across supported applications.
• Manage major incidents, escalations, and stakeholder communications to minimize business disruption.
• Coordinate with business users, development teams, vendors, and platform owners to resolve production issues in a timely manner.
• Drive proactive monitoring, root cause analysis, recurring issue elimination, and continuous service improvement initiatives.
• Govern production changes, release deployments, CAB activities, and operational readiness reviews.
• Produce service performance reports, operational dashboards, and executive management updates.
• Manage support team performance, resource planning, shift coverage, knowledge management, and continuous improvement activities.
• Drive operational excellence initiatives to improve service quality and efficiency.
• Ensure compliance with IT governance, audit, security, and data privacy requirements.

Skills

SQL

Python

Databricks

Leadership

Communication

Problem solving

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline

Tools

Databricks

Job description

Key Responsibilities

• Execute BAU analytics and data tasks for assigned markets
• Maintain SQL/Python-based pipelines and notebooks in Databricks
• Own end-to-end service delivery and ensure SLA/KPI compliance across supported applications.
• Manage major incidents, escalations, and stakeholder communications to minimize business disruption.
• Coordinate with business users, development teams, vendors, and platform owners to resolve production issues in a timely manner
• Drive proactive monitoring, root cause analysis, recurring issue elimination, and continuous service improvement initiatives.
• Govern production changes, release deployments, CAB activities, and operational readiness reviews.
• Produce service performance reports, operational dashboards, and executive management updates.
• Manage support team performance, resource planning, shift coverage, knowledge management, and continuous improvement activities
• Drive operational excellence initiatives to improve service quality and efficiency
• Ensure compliance with IT governance, audit, security, and data privacy requirements

Job Requirements

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline.
• Strong SQL/Python skills for data processing and automation
• Hands-on Databricks operational experience (notebooks, jobs, monitoring)
• Good SQL skills for analytics and reporting
• Strong leadership, communication, analytical, and problem-solving skills.
• ITIL, PMP, PRINCE2, Agile, or ServiceNow certifications are advantageous.
• Excellent written and spoken English and Mandarin

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