About the Role
This role involves leading the development and maintenance of data pipelines, driving best practices in data engineering, and working closely with cross-functional teams to deliver high-quality data systems.
Responsibilities
- Design and implement robust data pipelines for large-scale datasets
- Lead architectural decisions for data storage and processing systems
- Collaborate with analysts and scientists to understand data needs
- Ensure data accuracy, consistency, and accessibility across platforms
- Mentor junior engineers and promote technical excellence
- Optimize data workflows for performance and reliability
- Evaluate and integrate new data technologies and tools
- Support data governance and compliance standards
- Troubleshoot and resolve data infrastructure issues
- Drive automation in data processing and monitoring
- Work with product teams to integrate data solutions
- Maintain documentation for data systems and processes
- Monitor system performance and implement improvements
- Ensure scalability of data platforms for future growth
- Lead code reviews and enforce engineering standards
- Coordinate with DevOps for deployment and infrastructure needs
- Implement security practices for data access and storage
- Support real-time and batch data processing workflows
- Develop and maintain ETL processes
- Promote data quality and validation practices
- Participate in incident response for data-related outages
- Contribute to roadmap planning for data engineering initiatives
- Foster collaboration between engineering and non-technical teams
- Stay current with industry trends in data architecture
- Lead efforts to reduce technical debt in data systems
Nice to Have
- Master's degree in computer science or related field
- Experience leading engineering teams
- Contributions to open-source data projects
- Certifications in cloud data technologies
- Hands-on experience with Apache Spark
- Familiarity with data mesh architecture
- Experience with machine learning pipelines
- Knowledge of GraphQL for data APIs
- Background in high-growth startup environments
- Public speaking or conference presentations
Compensation
Competitive salary and benefits package
Work Arrangement
Remote position with flexible hours
Team
Collaborative engineering team focused on data systems
About the Team
The data team works closely with product, analytics, and engineering to enable data-driven decision-making across the organization. The team values transparency, innovation, and sustainable engineering practices.
Growth Opportunities
This role offers the chance to shape the future of the data platform, lead technical strategy, and grow into broader leadership responsibilities.
Available for qualified candidates
