Description

You will lead the architecture, design, and implementation of scalable data pipelines and modeling frameworks.

Responsibilities

• Act as the technical lead across data engineering workstreams.
• Design and review ingestion pipelines from systems like Salesforce and Netsuite.
• Architect and enforce Snowflake data modeling and ingestion standards.
• Lead dbt model framework development across staging, intermediate, and mart layers.
• Guide CI/CD strategy, testing frameworks, and performance tuning.

Required Skills

• 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, Talend, Databricks).
• Strong understanding of CI/CD, testing workflows, and data lineage.
• Expertise with Snowflake, Jenkins, Talend, Databricks, Glue, and ADF.
• Excellent communication and stakeholder collaboration skills.

Key Skills

Education

Any Graduate