Description

You will design and optimize data architectures using Lakehouse principles on AWS and Snowflake.

This role is on-site.

Responsibilities

• Design and optimize data architectures using Lakehouse principles.
• Guide customers on best practices for data ingestion, transformation, and analytics.
• Manage data lifecycle processes including ETL, data quality, metadata management, and data profiling.
• Implement data loading strategies for micro-batches and streaming data.

Required Skills

• 12+ years of experience in data architecture, data engineering, or solution architecture.
• Expertise in Snowflake and AWS environments.
• Proficiency in SQL and Python.
• Experience with dbt.
• Hands-on experience with CI/CD platforms including GitLab CI, GitHub Actions, and AWS CodeBuild.
• Deep knowledge of Master Data Management and metadata management.
• Experience managing streaming data loads and micro-batches.

Preferred Skills

• Ability to lead technical discussions and deliver presentations, demonstrations, and proofs-of-concept.

Any Graduate degree.

Key Skills

Education

Any Graduate