Data Architect designing and governing data foundations for analytics and AI applications at Clio. Collaborating cross - functionally to develop high - quality data models and standards.
About the role
- Senior Data Engineer designing and implementing scalable data solutions for a leading travel company. Collaborating with engineers and architects to ensure best practices and effective data products.
Responsibilities
- Lead the design, development and implementation of scalable, resilient and cost-effective data pipelines, both batch and streaming
- Collaborate with Staff Engineers and Data Architects to translate high-level architecture into concrete technical solutions
- Promote best practices in data modeling, pipeline design, code quality and testing
- Implement and evolve automated frameworks for monitoring, alerting and data quality for critical pipelines
- Own complex data engineering projects from design to deployment and monitoring
- Guide the team in designing real-time, microservice-oriented, event-based data flows
- Optimize existing data infrastructure for performance, scalability and cost efficiency
- Mentor and coach mid-level engineers, conduct code reviews and provide feedback to develop their skills
- Collaborate with analysts, data scientists and product teams to co-design data products that support advanced analytics and ML models
- Contribute to the evolution of data governance, security and compliance practices
- Evaluate and introduce new tools, frameworks and techniques to maintain a modern, high-performing stack
- Advocate a “data-first” culture to ensure stakeholders have reliable, actionable data
Requirements
- No requirements provided
Job title
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Degree requirement
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