Lead Data Engineer

Responsibilities

• Guide the development of Lutron’s cloud-based data ecosystem.
• Mentor data engineers, software engineers, and data scientists.
• Drive best practices in data engineering, governance, security, and scalability across teams.
• Streamline data access and champion data literacy across the company.
• Process, clean, and validate the integrity of large-scale datasets.
• Arcitect cloud-based solutions leveraging AWS and Microsoft platforms.
• Model data for the business, enabling accurate analytics, KPIs, and decision-making across functional areas.
• Build and maintain infrastructure to host, manage, and automate machine learning models and advanced analytics.
• Support AI/ML workflows by developing scalable pipelines for model training, deployment, monitoring, and versioning.
• Integrate AI-driven tools such as recommendation engines, natural language processing, and predictive analytics into enterprise systems.
• Optimize data pipelines for large-scale feature engineering, experiment tracking, and real-time inference.
• Collaborate with data scientists to productionize AI models and agents, ensuring performance, reliability, and compliance.
• Ensure performance and data quality through SQL programming and optimization.
• Communicate technical concepts clearly to both technical and non-technical stakeholders.
• Provide automated analytics, dashboards, and data visualizations to empower business decisions.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Computer Engineering, or Software Engineering.
• Minimum, cumulative GPA of 3.00 for all degrees earned.
• 8+ years of experience in a related field.
• Proven expertise in modern data modeling, real-time and batch data processing, and cloud-based architectures.