
Chief Data Architect
2 weeks ago
Key Responsibilities:
- Create scalable and reusable data models using tools like dbt.
- Collaborate with data engineers to ingest and transform data from various sources.
- Evaluate data quality, consistency, and documentation across all datasets.
- Develop actionable insights for analysts and business teams.
- Implement data testing frameworks to validate pipeline integrity.
- Optimize SQL queries and data transformations for performance.
- Maintain version control and CI/CD pipelines for analytics codebases.
- Monitor and troubleshoot data pipelines and models in production.
Skills
- Proficient in SQL and experience with dbt or similar data modeling tools.
- A strong understanding of data warehousing concepts and ETL processes.
- Experience with Git and CI/CD workflows.
- Excellent communication and collaboration skills.
The ideal candidate will have a solid foundation in data engineering and analytics. They will be able to design, build, and maintain scalable and reusable data models. Additionally, they will work closely with analysts and business teams to understand data needs and deliver actionable insights. The candidate should also possess excellent problem-solving skills, with the ability to troubleshoot data pipelines and models in production.
They will be proficient in SQL and experience with dbt or similar data modeling tools. They will also have strong analytical and problem-solving skills, with the ability to evaluate complex data sets and identify areas for improvement.
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