Engineer
lplfinancial
Job Description
- Manage end‑to‑end data operations, including validation of incoming data sources, data integration and compilation, and downstream data distribution.
- Ensure best‑in‑class data quality and accuracy by defining, building, and tracking data accuracy KPIs to provide insights to Product and Data Engineering teams.
- Establish and maintain batch and ETL job lineage, ensuring compliance with governance policies and operational standards.
- Partner with Data Engineering to ensure operational controls are properly designed, implemented, and functioning effectively.
- Oversee the integration and execution of all inbound and outbound data processes.
- Identify and implement actionable improvements and optimizations to support increasing data volume, complexity, and business demand.
- Provide hands‑on support for user community training related to data usage, reporting, issue resolution, and production support.
- Monitor, triage, prioritize, and assign Data Operations work intake from ServiceNow, IT Service Desk, IT Demand processes, IT Business Partners, and other data and analytics intake channels.
- Design and implement frameworks and methodologies for deploying and scaling Data Operations solutions.
- Contribute to the vision, strategy, and roadmap for the Data Operations practice, including identifying opportunities for growth, efficiency, and modernization.
- Promote a strong culture of process documentation, data governance, operational discipline, and continuous improvement.
- Develop and integrate operational reports, KPI dashboards, and metrics packages to support technology leadership and decision‑making.
- Evaluate existing ETL platforms and identify alternative solutions when current hardware or software cannot efficiently support large‑scale data processing requirements.