Lead Data Engineer

Responsibilities

• Drive Software Quality Data Strategy: Define and manage a unified data framework, ensuring consistent metrics, governance, and data quality across ES Engineering organizations and design centers.
• Build Intelligent Dashboards: Develop automated, real-time dashboards and analytics pipelines that highlight software quality performance, risks, and improvement opportunities.
• Create and Maintain Automated Data Flows: Create and maintain automated data flows, alerts, and action triggers that enable a proactive, data-driven approach to quality management.
• Cookordination Across Organizations: Align software quality planning and execution across multiple engineering teams, programs, and sites to ensure standardization and transparency.
• Communicate to Leadership: Provide clear, data-driven insights, trends, and recommendations to senior leadership; deliver recurring updates that support decision-making and strategic direction.
• Enable Continuous Improvement: Identify systemic quality issues, streamline processes, and introduce innovative data solutions to strengthen software quality for internal and external customers.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, or a related discipline; advanced degree preferred.
• 8+ years of experience in data engineering, software quality, or software development in complex embedded or regulated environments.
• Deep experience with data engineering tools and technologies (SQL, Python, ETL frameworks, data modeling, cloud platforms).
• Demonstrated expertise designing scalable dashboards and automated analytics workflows (e.g. Tableau).
• Strong understanding of software development life cycles (SDLC), quality processes, and defect management.