Data Pipeline Architect
Há 7 dias
We are seeking a skilled Data Pipeline Architect to enhance and scale our data transformation layer.
About the RoleThe successful candidate will be responsible for designing, implementing, and optimizing data pipelines that extract, transform, and load data into Snowflake from multiple sources using Airflow and AWS services.
Key Responsibilities:
- Design and implement modular, well-documented dbt models with strong test coverage for business reporting, lifecycle marketing, and experimentation.
- Partner with analytics and business stakeholders to define source-to-target transformations and implement them in dbt.
- Maintain and improve our orchestration layer (Airflow/Astronomer) to ensure reliability and efficient dependency management.
To be successful in this role, you will need:
- Hands-on experience developing dbt models at scale, including macros, snapshots, testing frameworks, and documentation.
- Strong SQL skills and understanding of Snowflake architecture, including query performance tuning and cost optimization.
- Experience managing Airflow DAGs, scheduling jobs, and handling retries and failures; familiarity with Astronomer is a plus.
- Proficiency in dimensional data modeling and building reusable data marts.
- Familiarity with AWS services such as DMS, Kinesis, and Firehose is a plus.
- Familiarity with event data and flows, especially related to Segment, is a plus.
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