Description

You will design and implement scalable analytics engineering pipelines and data architecture on AWS and Databricks.

This role is on-site.

Responsibilities

• Design and support scalable, performant data workflows on Databricks using Delta Lake and Unity Catalog.
• Build and maintain analytics pipelines using dbt Cloud, ensuring modularity, testing, and governance.
• Partner with product teams to translate business needs into data models and semantic layers.
• Implement data quality checks, CI/CD pipelines, and version control processes using GitHub Actions.
• Document lineage, metadata, and access patterns to ensure data discoverability and compliance.

Required Skills

• 12+ years of experience in data architecture, analytics engineering, or data engineering.
• Practical experience building transformation pipelines using dbt Cloud (models, tests, macros).
• Hands-on experience with Databricks and AWS infrastructure.
• Strong SQL proficiency with Python familiarity in data workflows.
• Solid understanding of data modeling principles and data quality techniques.
• Experience with agile delivery and CI/CD pipelines.
• Familiarity with Data Engineering principles and collaborating with DevOps teams.

Key Skills

Education

Any Gradute