Data Product Engineer Lead

Roles & Responsibilities

• Lead architecture, design, and implementation of enterprise data products and domain data assets.
• Establish engineering standards, design patterns, reusable frameworks, and development best practices.
• Guide technology decisions across cloud, data platform, integration, and analytical ecosystems.
• Review solution designs for scalability, resiliency, maintainability, and security.
• Partner with Data Product Leads and business stakeholders to define priorities and execution plans.
• Translate business outcomes into technical implementation roadmaps.
• Lead delivery of strategic data products supporting enterprise data initiatives.
• Ensure products meet functional, performance, quality, and governance requirements.
• Mentor and coach engineers across technical and professional development areas.
• Support hiring, onboarding, skill development, and succession planning.
• Drive engineering excellence through code reviews, design reviews, and quality assurance practices.
• Foster a culture of innovation, accountability, and continuous learning.
• Drive platform optimization, cost management, observability, automation, and reliability initiatives.
• Collaborate with enterprise architecture and platform teams on long-term technology roadmaps.
• Establish monitoring frameworks for data reliability and service-level expectations.
• Ensure compliance with regulatory, risk, privacy, and security requirements.
• Lead development of trusted data products supporting AI, machine learning, and advanced analytics.
• Drive adoption of feature stores, semantic models, and analytical datasets.
• Manage technical debt and modernization strategies across data product portfolios.

Experience / Qualifications