Quick overview
Job description
Architect and lead the development of scalable cloud data platforms and complex data pipelines. Partner with business and technology leaders to set data roadmaps and standards, mentor engineers, own production solutions, and evaluate emerging technologies, including generative AI.
Responsibilities
- Architect and implement large-scale data solutions focused on scalability, performance, security, and cost-efficiency.
- Translate business goals into data platform architectures and technical roadmaps, influencing strategy across teams.
- Build and optimize cloud ETL/ELT pipelines for large-scale and real-time data processing.
- Integrate enterprise systems, third-party services, streaming sources, and APIs using reliable data integration patterns.
- Mentor data engineers and lead code reviews, design discussions, and technical workshops.
- Own production data solutions, including deployment, monitoring, performance tuning, incident response, data quality, and observability.
Required Skills
- Cloud data platform architecture
- ETL/ELT pipeline development
- Data integration
- Real-time data processing
- Stream processing
- Data quality frameworks
- Data observability
- CI/CD pipelines
- Infrastructure as code
- Generative AI integration
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