Job Description:-
We’re seeking a Principal Data Engineer to lead the architecture, design, and implementation of scalable data pipelines and modeling frameworks. This role is critical in guiding a team of senior engineers through a large-scale Snowflake and dbt modernization effort across multiple cloud and data platforms.
Responsibilities:
- Act as the technical lead across data engineering workstreams
- Design and review ingestion pipelines (from systems like Salesforce, Netsuite) using tools such as Jenkins, Talend, Databricks, Glue, and ADF
- Architect and enforce Snowflake data modeling and ingestion standards
- Lead dbt model framework development (staging, intermediate, mart layers)
- Guide CI/CD strategy, testing frameworks, and performance tuning
- Collaborate with stakeholders to ensure alignment with business needs
- Mentor and support Senior Data Engineers to maintain consistency and code quality
Qualifications:
- 10+ years of experience in data engineering, including hands-on Snowflake development
- Proven leadership in cloud-native data solutions and dbt modeling
- Deep experience with batch ingestion tools (Glue, ADF, Jenkins, etc.)
- Strong understanding of CI/CD, testing workflows, and data lineage
- Excellent communication and stakeholder collaboration skills
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