This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Data Engineer based in the United States. This is a leadership-focused data engineering role combining technical ownership, team development, and strategic business partnership. You’ll lead a Data Engineering team while remaining hands-on with architecture, pipelines, infrastructure, and complex technical challenges. The role is responsible for building reliable, scalable data foundations that support reporting, analytics, and data-driven products across the organization. You’ll work closely with Finance, Data & Analytics, and other stakeholders to turn business requirements into practical and sustainable technical solutions. You’ll establish engineering standards around architecture, modeling, reliability, performance, automation, and data quality. The environment values ownership, collaboration, technical excellence, and continuous improvement. This is an opportunity to shape both the technical direction of a growing data function and the development of the people behind it. Accountabilities - Lead, mentor, and develop the Data Engineering team, setting clear expectations for performance, quality, accountability, and ownership. - Manage team priorities, workload, and delivery plans in alignment with organizational objectives and the broader data roadmap. - Provide technical direction and oversight across architecture, system design, development, testing, and production readiness. - Serve as an escalation point for complex technical issues, data-quality challenges, and delivery risks. - Design, build, maintain, and optimize scalable data pipelines, integrations, warehouses, and supporting infrastructure. - Establish and maintain standards for data architecture, modeling, reliability, scalability, performance, maintainability, and data quality.
- Remain hands-on by contributing to development and resolving complex or business-critical technical problems. - Improve automation, monitoring, tooling, and engineering practices to strengthen the reliability and efficiency of the data environment. - Define technical direction and priorities for Data Engineering in partnership with business and technical leadership. - Partner with Finance, Data & Analytics, and other stakeholders to understand business requirements and translate them into effective data solutions. - Evaluate technologies, processes, and architectural approaches that improve the organization's ability to use, manage, and scale data. - Communicate technical strategy, infrastructure needs, risks, and recommendations clearly to both technical and non-technical stakeholders. - Track and improve key outcomes including pipeline reliability, data quality, delivery timeliness, roadmap progress, team development, and stakeholder satisfaction. - Contribute to special projects and additional responsibilities as business needs evolve. Requirements - 7+ years of professional data engineering experience, including at least 2 years leading, supervising, mentoring, or providing technical direction to other engineers. - Bachelor’s degree in Computer Science, Data Engineering, a related technical discipline, equivalent technical training, or equivalent professional experience. - Strong hands-on experience designing, building, and maintaining data pipelines, ETL/ELT processes, data warehouses, integrations, and supporting infrastructure. - Advanced SQL capabilities and strong programming experience with Python, Java, Scala, or a comparable programming language. - Deep understanding of data architecture, data modeling, scalability, performance optimization, reliability, and data-quality practices. - Experience with modern cloud data platforms, orchestration frameworks, and data-processing technologies.
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