Lead Data Engineer (GCP) REMOTE

Data Engineering Manager Own the reliability, scalability, and performance of the company's core data pipelines and infrastructure. Set technical priorities, identify risks, and drive improvements to ensure data remains accurate, accessible, and dependable as the business grows. Lead the design and delivery of complex data engineering initiatives, from architecture and technical planning through implementation. Make sound technical decisions, balance competing priorities, and ensure solutions address immediate business needs while remaining scalable and maintainable. Establish and reinforce engineering standards across Python, SQL, orchestration, testing, documentation, data governance, and monitoring. Leverage AI and automation to reduce repetitive tasks, such as test and documentation generation and early detection of data quality issues, allowing the team to focus on more complex engineering challenges. Set the technical direction and quality standards for data engineering. Conduct design and code reviews, share technical knowledge, and support the onboarding, development, and guidance of engineers as the team grows. Partner with Data Science, BI, and business teams to translate data requirements into practical technical solutions. Anticipate dependencies, resolve complex issues, and strengthen the data foundation supporting analytics, machine learning, and business decision-making.