Data Tech Lead

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

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 certificati