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Manager, Data Engineering
Rivian
Belgrade, SerbiaOn Site
Original Job Summary
About Rivian
Rivian is on a mission to keep the world adventurous forever. We build emissions-free Electric Adventure Vehicles and seek curious, courageous individuals committed to protecting the outdoors for future generations.
Responsibilities
Team Leadership and Management:
- Build, mentor and coach a team of data engineers.
- Set clear goals and provide regular feedback.
- Allocate resources and manage project priorities with product owners.
- Manage relationships with Serbian and US based leadership.
Data Infrastructure Development and Maintenance:
- Oversee design, development, and maintenance of data pipelines and assets in the Enterprise data lake.
- Support the data platform ensuring quality, reliability, security and performance.
- Evaluate and implement new technologies, including emerging AI capabilities.
- Collaborate with engineering and business teams to integrate data systems.
Collaboration and Communication:
- Partner with product owners, stakeholders and system owners to understand data needs.
- Communicate effectively with technical and non-technical audiences.
- Document infrastructure and processes while setting best practice guidelines.
Other Areas of Focus:
- Create architectural standards for a modern, scalable data stack.
- Implement both streaming and batch processing solutions.
- Continuously research the latest data technologies to improve efficiency.
Qualifications
- At least 6 years in similar positions.
- Experience in leading and managing globally distributed teams.
- Expertise in modern data stacks like Databricks, DBT and robust data pipelines.
- Knowledge of automation, CI/CD, ML models and AI capabilities in data decision making.
Key skills/competency
- Data Pipelines
- Team Leadership
- Enterprise Data Lake
- Data Quality
- Data Security
- Modern Data Stack
- AI Integration
- ML Models
- CI/CD
- Architectural Design
How to Get Hired at Rivian
🎯 Tips for Getting Hired
- Customize your resume: Highlight leadership and data expertise.
- Showcase technical skills: Emphasize modern data stack experience.
- Research Rivian: Understand their mission and technology approach.
- Prepare for interviews: Be ready to discuss global team management.
📝 Interview Preparation Advice
Technical Preparation
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Review modern data stack tools.
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Practice CI/CD best practices.
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Study AI and ML model integration.
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Familiarize with data pipeline architectures.
Behavioral Questions
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Describe your leadership style.
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Explain team conflict resolution steps.
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How do you prioritize projects?
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Share a time you adapted processes.