Senior DataOps Engineer - Production Data & SLA Lead

sunlife; Philippines; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

Sun Life in the Philippines is seeking a seasoned DataOps/ETL professional to operate, monitor and improve production data workloads. You will manage schedules, SLAs, execute changes, and support data quality checks with evidence.

The role emphasizes incident response, RCA documentation, and robust runbooks to sustain high data availability. Ideal candidates have 8+ years of experience, 3-6 years in DataOps/ETL, hands-on experience with Control-M, SQL proficiency and familiarity with cloud data

Qualifications

• At least 8+ years of experience.
• 3-6 years in DataOps/ETL operations; hands-on with enterprise schedulers (e.g., Control‑M) and production support.
• Working SQL and Cloud data familiarity; exposure to Data Quality, Lineage and Metadata processes is a plus.

Responsibilities

• Scheduling & Monitoring - Own daily/weekly schedules in the enterprise scheduler; maintain calendars/dependencies; implement health checks and alerts (e.g., Control‑M).
• Incident & Problem Management - Triage and restore service; capture RCA and prevention actions; maintain runbooks/knowledge base.
• Change & Release Execution - Execute deployments/config changes under change controls with complete evidence and rollback plans.
• Data Quality Operations Support - Run DQ checks and reconciliations, file evidence, and track remediation with DG/DQ leads.
• Service Reporting - Publish job success/latency/SLA compliance; automate to reduce manual toil.

Skills

DataOps/ETL operations

SQL

Cloud data familiarity

Incident response

Education

N/A

Tools

Control-M

Job description

Sun Life in the Philippines is seeking a seasoned DataOps/ETL professional to operate, monitor and improve production data workloads. You will manage schedules, SLAs, execute changes, and support data quality checks with evidence.

The role emphasizes incident response, RCA documentation, and robust runbooks to sustain high data availability. Ideal candidates have 8+ years of experience, 3-6 years in DataOps/ETL, hands-on experience with Control-M, SQL proficiency and familiarity with cloud data