Description

You will design and implement enterprise-grade data solutions across Azure and AWS environments.

You will own the release pipeline.

Responsibilities

• Architect Data Lakes, Lakehouse, and Data Warehouse solutions for batch and real-time processing.
• Lead large-scale data migration initiatives, including on-premise to cloud.
• Build scalable ETL/ELT pipelines using cloud-native tools and distributed frameworks.
• Establish data governance frameworks, security policies, and compliance for cloud environments.
• Implement CI/CD pipelines for data solutions.

Required Skills

• 5+ years of experience in data architecture.
• Proficiency in SQL, Python, and Spark.
• Experience with real-time streaming frameworks like Kafka or Event Hub.
• Strong foundation in Big Data engineering and distributed computing (Spark).
• Experience with Infrastructure as Code tools (Terraform, CloudFormation, ARM Templates).
• Deep understanding of cloud security, IAM/RBAC, and encryption.
• Familiarity with multi-cloud strategy (Azure/AWS).

Preferred Skills

• Experience with TOGAF or enterprise architecture principles.
• Knowledge of containerization and Kubernetes.

Key Skills

Education

Any Gradute