Description

You will architect and define the strategy for Lakehouse data platforms, enabling advanced analytics and AI across the organization.

This role is on-site.

Responsibilities

• Define and implement Lakehouse architecture strategy and data ingestion patterns.
• Design end-to-end ETL automation and data pipelines for big data platforms.
• Analyze current data landscapes and assess tools to unify data sources.
• Enable near real-time analytics through streaming and single-version-of-truth strategies.

Required Skills

• 8-10+ years of hands-on experience in data warehousing, data modeling, and data mining.
• Deep expertise in GCP services: BigQuery, Dataproc, Dataflow, Composer, Cloud Functions, and GKE.
• Strong knowledge of Snowflake and Data Lakehouse setups.
• Proficiency in Azure cloud services.
• Experience designing ETL processes and in-memory models.
• Understanding of Marketing Tech stacks and AI/ML data requirements.
• Bachelor’s degree in a relevant field.

Preferred Skills

• Experience with cross-functional collaboration in large enterprise environments.
• Knowledge of advanced analytics implementation patterns.

Key Skills

Education

Any Graduate