About the Role
This role involves leading the development and optimization of data platforms, working closely with cross-functional teams to ensure reliable data access and performance at scale.
Responsibilities
- Design and build scalable data pipelines for large-scale data processing
- Develop and maintain data models and warehouse architectures
- Ensure data accuracy, consistency, and accessibility across systems
- Collaborate with analytics and machine learning teams to support data needs
- Optimize data workflows for efficiency and reliability
- Implement data governance and security standards
- Monitor data pipeline performance and troubleshoot issues
- Work with distributed systems and cloud-based data platforms
- Support real-time and batch data processing workflows
- Drive automation of data operations and testing procedures
- Lead code reviews and contribute to engineering best practices
- Mentor team members on data engineering principles
- Evaluate and integrate new data technologies and tools
- Participate in architectural planning for data infrastructure
- Ensure compliance with data privacy and regulatory requirements
- Collaborate on end-to-end data solution delivery
- Improve data documentation and metadata management
- Support disaster recovery and data backup strategies
- Contribute to incident response for data-related outages
- Work with stakeholders to understand evolving data demands
- Promote reusability and standardization across data platforms
- Integrate third-party data sources into internal systems
- Enhance data quality monitoring and alerting systems
- Drive improvements in data observability and lineage tracking
- Assist in scaling infrastructure to meet growing data volumes
Compensation
Competitive salary based on experience and location
Work Arrangement
Hybrid work model with office and remote flexibility
Team
Part of a high-performing engineering team focused on data infrastructure and platform scalability
Why This Role Matters
Data is central to decision-making across the organization. This role ensures that data is reliable, accessible, and scalable for analytics and machine learning use cases.
What You’ll Bring
A strong foundation in data systems, a passion for solving complex data challenges, and the ability to lead technical projects from concept to production.
Visa sponsorship available for qualified candidates
