Redwood Materials
Data Engineering Manager
McCarran, NV · Full-time
Sponsorship not specifiedDetected 7 hours ago
PythonSQLAWSCloud PlatformsKubernetesData EngineeringIncident ResponseSupply ChainPerformance ManagementLeadershipCommunicationCollaborationMentoring
About the role
- About Redwood Materials Redwood is localizing a global battery supply chain that seamlessly integrates recovery, reuse, and recycling - keeping critical minerals in circulation and driving the energy transition.
- The Data team is responsible for managing data assets in a data lake architecture and overseeing the full data lifecycle from ingestion to processing to consumption.
- The ideal candidate is someone with experience managing technical teams, strong interpersonal skills, and technical skills in data engineering and creating/managing/supporting AWS infrastructure.
Responsibilities
- Lead and grow a team of data engineers and analysts, including hiring, mentoring, career development, and performance management
- Own the long-term roadmap and prioritization for the data platform, balancing infrastructure investment, new pipeline development, and analytics requests from across the business
- Oversee the design and operation of data pipelines spanning streaming datasets, APIs, and various data stores, ensuring they meet reliability and quality standards
Requirements
- Bachelor's degree in Computer Science, a similar technical field of study, or equivalent practical experience
- Familiarity with the modern data engineering stack - relational and non-relational data stores, ELT orchestration, transformation tooling, and data observability/catalog tooling
- If you have additional privacy-related questions, please contact us at privacy@redwoodmaterials.com.
- Minimum 5 years of hands-on experience building data solutions in a modern cloud environment, with at least 2 years managing technical teams
- Strong technical foundation in Python and SQL sufficient to review code, evaluate design decisions, and guide the team through hard technical problems (Trino experience a plus)
- Experience operating data platforms in AWS using infrastructure-as-code methodologies (CDK a plus); familiarity with containerized workloads in Kubernetes nice to have
- Demonstrated ability to manage production data workloads at scale (detecting and diagnosing issues, monitoring, incident response)
- Strong interpersonal and communication skills; able to translate between business stakeholders and technical teams, and to advocate for the team's roadmap with senior leadership
- A Passion for sustainability and making the world a better place!
Nice to have
- Experience operating data platforms in AWS using infrastructure-as-code methodologies (CDK a plus)
- familiarity with containerized workloads in Kubernetes nice to have
Skills
- Stay technically hands-on - review code, prototype solutions, and step into pipeline or infrastructure work alongside the team
- Foster a culture of technical excellence and execution, and champion the data team's work across the broader organization
Compensation
- Compensation will be commensurate with experience.
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