Description

You will design and manage large-scale data architectures across Azure and Google Cloud environments. You align data strategies with business objectives while leading cross-functional teams.

Responsibilities

• Architect cloud-native data solutions including data lakes and warehouses.
• Build and maintain ELT/ETL pipelines for batch and real-time processing.
• Implement data integration using APIs and streaming technologies like Kafka.
• Define data governance, modeling, and database design standards.
• Drive automation and DevOps practices for data infrastructure.

Required Skills

• 12+ years of experience in data architecture and engineering.
• Deep expertise in Google Cloud (BigQuery, DataProc, Cloud Storage, Dataflow/Data Fusion) and Azure.
• Strong proficiency in Python for data processing and tooling.
• Hands-on experience with Spark and distributed computing frameworks.
• Proficiency in SQL and NoSQL database design.
• Experience with orchestration tools such as Airflow and Cloud Composer.
• Knowledge of CI/CD pipelines and automation practices.

Key Skills

Education

Any Graduate