Data Engineering Lead
ArineFull Time
Expert & Leadership (9+ years)
Candidates must have 8+ years of experience in data engineering, backend development, and DevOps, with at least 3 years of management experience in hiring and developing teams. Strong experience with data pipelines, ETL processes, and data warehousing is required, along with proficiency in at least one object-oriented programming language like Python or Java. Advanced SQL and data modeling skills are essential, as is a proven track record of leading technical strategy, making architectural decisions, and delivering large-scale systems. Strong communication skills to explain and evangelize data infrastructure are also necessary. Experience with infrastructure-as-code (Terraform), workflow orchestration tools (Dagster, Apache Airflow), knowledge of data governance and security best practices, and cloud infrastructure cost optimization are considered standout qualifications.
The Sr. Engineering Manager, Data Infrastructure will lead a team responsible for large-scale data infrastructure, supporting data processing systems and data warehousing solutions. This role involves defining and driving technical strategy to ensure systems are reliable, scalable, and aligned with business goals. Responsibilities include guiding the implementation of best practices in data quality, security, governance, and observability. The manager will coach and develop individual contributors, foster an inclusive engineering culture, and act as a thought partner to cross-functional leaders. They will also evaluate and implement new technologies to improve infrastructure performance and cost-efficiency, monitor infrastructure KPIs and reliability metrics, and proactively address issues. Strong communication skills are needed to share context clearly with both technical and non-technical stakeholders.
Autonomous delivery robots for food and retail
Serve Robotics is changing the delivery industry with its self-driving robots that provide sustainable and efficient delivery solutions. Instead of using traditional vehicles, these lightweight, autonomous robots deliver small items like food and retail products, reducing carbon emissions and traffic congestion. The company operates on a delivery-as-a-service (DaaS) model, allowing businesses in the food and retail sectors to subscribe and pay based on their delivery needs. Serve Robotics aims to lead in the autonomous delivery market by offering eco-friendly solutions that enhance customer experience.