
Chief Cloud Data Architect
2 days ago
Job Overview:
We seek a seasoned data engineer with expertise in cloud-based data solutions to drive scalability, performance, and reliability.
Key Responsibilities:
- Design, develop, and optimize complex data pipelines using dbt and Snowflake.
- Develop efficient, scalable, and reliable data transformation models with dbt Core or dbt Cloud.
- Implement advanced Snowflake features such as Snowpipe, Streams, Tasks, and Dynamic Tables.
- Collaborate with cross-functional teams to understand data requirements and design architectures.
- Maintain and enhance the data warehouse architecture to support business intelligence and reporting needs.
- Monitor data pipeline performance and troubleshoot issues proactively.
- Apply version control practices (Git) and CI/CD for data workflows.
Required Skills & Qualifications:
- 5+ years of experience in Data Engineering.
- Advanced proficiency in dbt (Core or Cloud) for data transformations and testing.
- Proficient in SQL (complex queries, CTEs, window functions, optimization).
- Experience with ETL/ELT design patterns and tools like Airflow, Fivetran, or Informatica.
- Solid understanding of data warehousing concepts, dimensional modeling, and medallion architecture.
- Experience with Cloud Platforms such as AWS, Azure, or GCP is a plus.
- Familiarity with Git/GitHub and version-controlled deployment pipelines.
- Excellent communication skills and ability to work in cross-functional teams.
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