Data Architect
10 hours ago
We are seeking an experienced and results-driven professional to develop scalable, high-performance data transformation pipelines using Snowflake and dbt.
This role involves designing and implementing ELT pipelines following industry-accepted best practices. Key responsibilities include building ingestion pipelines from various sources into Snowflake, implementing data modeling and transformation logic, leveraging orchestration tools for scheduling and monitoring data workflows, and applying dbt best practices.
Additionally, the ideal candidate will perform performance optimizations in dbt/Snowflake through clustering, query profiling, materialization, partitioning, and efficient SQL design. They will also contribute to growing internal knowledge base of dbt macros, conventions, and testing frameworks, collaborate with stakeholders to deliver clean, validated datasets, write well-documented code, and participate in Agile ceremonies.
- Design and implement scalable ELT pipelines using dbt on Snowflake.
- Build ingestion pipelines from relational databases, APIs, cloud storage, and flat files into Snowflake.
- Implement data modeling and transformation logic to support layered architecture.
- Leverage orchestration tools to schedule and monitor data workflows.
- Apply dbt best practices including modular SQL development, testing, documentation, and version control.
- Perform performance optimizations in dbt/Snowflake.
- Contribute to growing internal knowledge base of dbt macros and conventions.
- Collaborate with stakeholders to deliver clean, validated datasets.
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