About the Role
Lead the development and evolution of data infrastructure systems, ensuring scalability, reliability, and performance to meet growing business demands.
Responsibilities
- Architect and maintain scalable data pipelines for real-time and batch processing
- Design systems that support low-latency data access across distributed environments
- Collaborate with data scientists and analysts to understand infrastructure needs
- Optimize data storage solutions for cost and performance efficiency
- Ensure data consistency, integrity, and availability across platforms
- Lead technical decisions in data platform evolution and tooling selection
- Mentor engineers in best practices for data modeling and pipeline development
- Evaluate and integrate new data technologies and frameworks
- Drive automation of data operations and monitoring workflows
- Support disaster recovery and data backup strategies
- Improve observability and alerting for data systems
- Work closely with product teams to align data infrastructure with business goals
- Ensure compliance with data governance and security standards
- Troubleshoot and resolve critical data pipeline failures
- Develop documentation for data architecture and system workflows
- Lead performance tuning for large-scale data queries
- Implement data lineage and metadata tracking
- Promote reusability and standardization of data components
- Support migration of legacy systems to modern data platforms
- Evaluate cloud-based data services for integration
- Contribute to capacity planning for data growth
- Foster collaboration between engineering and data stakeholders
- Maintain high standards for code quality in data systems
- Participate in incident response for data-related outages
- Drive initiatives to reduce technical debt in data infrastructure
Nice to Have
- Master’s degree in a technical field
- Experience in fintech or payments infrastructure
- Leadership in open-source data projects
- Hands-on work with real-time analytics platforms
- Knowledge of machine learning data pipelines
Compensation
Competitive salary with equity and benefits package
Work Arrangement
Flexible; hybrid or remote options available
Team
Collaborative engineering team building scalable data platforms
About the Role
This position plays a key technical leadership role in shaping the future of data infrastructure. The engineer will own core systems that power analytics, reporting, and operational workflows across the organization.
What We Value
Technical excellence, clear communication, initiative, and a collaborative mindset. We prioritize sustainable engineering practices and long-term system health over short-term fixes.
Available for qualified candidates
