About the Role
The candidate will lead the development and optimization of data pipelines and storage solutions, working closely with cross-functional teams to support large-scale data operations.
Responsibilities
- Design and implement robust data pipelines for ingestion and processing
- Optimize data storage architectures for performance and scalability
- Collaborate with software teams to integrate data solutions
- Monitor system performance and troubleshoot data flow issues
- Ensure data accuracy and consistency across platforms
- Develop and maintain ETL workflows
- Support query performance tuning and indexing strategies
- Work with time-series data at scale
- Implement data validation and quality checks
- Document system designs and operational procedures
- Participate in code reviews and technical planning
- Contribute to disaster recovery and backup strategies
- Evaluate and integrate new data technologies
- Maintain security and compliance standards for data handling
- Assist in capacity planning for data infrastructure
- Support real-time data streaming use cases
- Collaborate on API design for data access
- Improve monitoring and alerting for data systems
- Drive automation of operational tasks
- Mentor junior engineers on best practices
- Ensure high availability of data services
- Work with distributed systems and cloud platforms
- Contribute to architectural decision-making
- Support deployment and configuration management
- Engage in incident response for data-related outages
Nice to Have
- Experience with InfluxDB or similar time-series platforms
- Contributions to open-source data projects
- Master's degree in a technical field
- Experience with edge computing and IoT data
- Knowledge of stream processing frameworks
- Familiarity with Kubernetes
- Experience in high-frequency data environments
- Background in DevOps practices
- Security certifications
- Public speaking or technical writing experience
Compensation
Competitive salary and benefits package
Work Arrangement
Remote with flexible hours
Team
Collaborative engineering team focused on data infrastructure
Why This Role Matters
This position plays a critical role in shaping the core data infrastructure that powers real-time analytics and monitoring solutions used by developers worldwide.
What to Expect
You will work on complex data challenges involving high-volume, high-velocity time-series data, contributing to systems that serve millions of data points per second.
Available for qualified candidates
