Job Description
📋 Description Own health, reliability, performance of the DataValidation platform. Serve as primary engineering escalation point for production incidents. Lead incident management, root cause analysis, and remediation. Drive observability, monitoring, alerting, and operational excellence. Establish and maintain operational KPIs, SLAs, and platform health metrics. Define and execute the technical strategy and roadmap for the DataValidation platform. 🎯 Requirements 10+ years of software engineering experience. 5+ years in staff/principal engineer or architect roles. Experience owning mission-critical production systems. Experience with enterprise-scale data platforms. Strong hands-on Python experience. Oracle Database proficiency. Linux environments experience. SQL performance tuning expertise. Azure Data Services familiarity. PySpark experience. Parquet datasets and data engineering frameworks. Data quality and validation platforms knowledge. Strong leadership, stakeholder management, and collaboration. 🎁 Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP)
