Lead Data Engineer - Remote

Overview

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us!

In Short

• Deeply understand business processes, objectives, and challenges to identify key business metrics and opportunities for data-driven improvement.
• Proactively identify and analyze business anomalies, conducting root cause analysis and recommending corrective actions.
• Define and document clear, actionable business rules to ensure data quality, consistency, and integrity across systems.
• Collaborate closely with ML and Data Engineering teams to translate business requirements into technical specifications for data pipelines, models, and analytical solutions.
• Lead the definition and scoping of data-driven projects, including business use cases, success criteria, and key deliverables.
• Develop and implement robust data validation and quality checks to ensure the accuracy and reliability of business-critical data.
• Design and build insightful dashboards and reports that provide business stakeholders with actionable insights and monitor key performance indicators.
• Contribute to internal and customer-facing data product strategy, focusing on business value and user adoption.
• Lead incident response for data quality or business rule issues, conducting root cause analysis and implementing preventative measures.

Requirements

• 7+ years of experience in data analysis, with a strong emphasis on business analysis and defining business rules.
• Proven ability to deeply understand business processes and translate complex business problems into data analysis requirements.
• Strong analytical skills with experience in identifying anomalies, trends, and patterns in large datasets.
• Proficiency in SQL for data extraction, manipulation, and analysis.
• Experience with data visualization tools (e.g., Tableau, Looker, Power BI) for creating impactful dashboards and reports.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with business stakeholders, ML engineers, and data engineers.
• Ability to think productively and partner with business and AI teams to drive data-driven solutions.
• Familiarity with data governance principles and best practices.

Benefits

• Healthcare, dental, vision benefits.
• Parental leave and planning.
• Mental health benefits.
• 401(k) plan and match.
• 11 paid holidays.
• Volunteer time off.
• Paid time-off.
• Other competitive benefits designed to improve the lives of our employees.