About the Role
This role involves leading the development and optimization of data pipelines, ensuring data accuracy and accessibility, and collaborating with cross-functional teams to deliver reliable data solutions.
Responsibilities
- Design and implement robust data pipelines for ingestion, transformation, and storage
- Collaborate with analytics and product teams to understand data needs
- Optimize data workflows for performance and scalability
- Maintain and improve data warehouse architecture
- Ensure data quality and integrity across systems
- Troubleshoot and resolve data-related issues
- Support compliance with data governance and security standards
- Evaluate and integrate new data technologies
- Document data models, processes, and system changes
- Mentor junior engineers and contribute to team best practices
- Participate in code reviews and system design discussions
- Monitor data pipeline health and performance
- Work with large-scale datasets across multiple platforms
- Drive automation of data operations and testing
- Contribute to architectural decisions for data infrastructure
- Align data engineering efforts with business objectives
- Support real-time and batch data processing needs
- Integrate third-party data sources and APIs
- Improve data observability and monitoring practices
- Collaborate on data modeling for analytics and reporting
Nice to Have
- Master’s degree in a technical field
- Experience in SaaS or subscription-based business models
- Background in analytics engineering or data science
- Familiarity with streaming data technologies
- Knowledge of machine learning pipelines
- Experience with infrastructure as code tools
- Contributions to open-source data projects
- Public speaking or conference presentation experience
- Leadership in cross-team technical initiatives
- Certifications in cloud or data engineering platforms
Compensation
Competitive salary and benefits package offered
Work Arrangement
Hybrid work model with flexibility based on role and location
Team
Part of a collaborative engineering team focused on data systems and infrastructure
Why This Role Matters
- Data is central to decision-making, and this role ensures high-quality, accessible data across the organization.
- Engineers in this position directly influence product development and business strategy through reliable data infrastructure.
Growth Opportunities
- Opportunities to lead projects, mentor team members, and shape the future of data engineering practices.
- Exposure to advanced data technologies and evolving business needs.
Visa sponsorship may be available for qualified candidates
