
Chief Data Architect
2 weeks ago
As a seasoned Senior Data Engineer, you will play a pivotal role in leading the design and implementation of scalable, high-performance data pipelines.
You'll collaborate closely with clients to translate business needs into robust data solutions and drive the delivery of production-grade data platforms.
Key Responsibilities:- Design and implement modular, test-driven ELT pipelines using dbt on Snowflake.
- Develop layered data models aligned with dbt best practices.
- Lead ingestion of structured and semi-structured data from APIs, cloud storage, and databases into Snowflake.
- Optimize Snowflake for performance and cost: warehouse sizing, clustering, materializations, query profiling, and credit monitoring.
- Apply advanced dbt capabilities including macros, packages, custom tests, sources, exposures, and documentation.
- Orchestrate workflows using dbt Cloud, Airflow, or Azure Data Factory, integrated with CI/CD pipelines.
- Define and enforce data governance and compliance practices using Snowflake RBAC, secure data sharing, and encryption strategies.
Technical Skills:
- Expert-level knowledge of SQL and Snowflake, including performance optimization, storage layers, query profiling, clustering, and cost management.
- Experience in dbt development: modular model design, macros, tests, documentation, and version control using Git.
Education:
- Bachelor's or master's degree in computer science, Data Engineering, or a related field.
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