Data Engineering Lead
Arbiter(2 months ago)
About this role
The Data Engineering Lead at Arbiter is responsible for architecting and developing scalable data processing systems, both batch and real-time, to support the company's AI-powered care orchestration platform in healthcare. This role involves technical leadership, overseeing project execution, mentoring team members, and enforcing best practices for data modeling and governance. The lead will also collaborate closely with cross-functional teams to align data solutions with business needs and will participate in building a high-performing data engineering organization. They will leverage their expertise in cloud-native data platforms, especially Google Cloud, and be proficient in Python while mentoring other engineers in a fast-paced, innovative environment.
Required Skills
- Data Engineering
- Technical Leadership
- Team Oversight
- Technical Mentorship
- Data Modeling
- Data Governance
- Cross-Functional Collaboration
- Team Building
- Cloud Platforms
- Python
+10 more
About Arbiter
arbiter.aiArbiter.ai is a technology company focused on leveraging artificial intelligence to enhance decision-making and operational efficiency within organizations. Although specifics about their products and services are not provided, they likely utilize advanced AI algorithms to analyze data and provide insights that drive strategic business decisions. As an innovative player in the tech landscape, Arbiter.ai aims to empower enterprises with cutting-edge solutions that streamline processes and elevate performance.