Enterprise Data Platform Architect

Role Overview

We are seeking a highly skilled and experienced Enterprise Data Platform Architect to lead the architecture, design, and implementation of a robust data ecosystem enabling business stakeholders to make data-driven decisions.

Key Responsibilities:

• Lead the architecture, design, and engineering of the Enterprise Data Lake on GCP.
• Define and implement technical and functional frameworks, data platform roadmap, and future-state architecture.
• Build and manage data ingestion pipelines from sources including SAP/HANA using in-house and cloud-native frameworks.
• Implement and maintain real-time and batch data processing using tools like Apache Spark, Kafka, Google Pub/Sub, and Talend.
• Drive the setup and automation of Databricks Platform to enable scalable data science and machine learning use cases.
• Ensure data quality and governance using Collibra framework and enforce enterprise standards across the platform.
• Collaborate with business and technology stakeholders to align data strategy with business goals.
• Evaluate and onboard emerging technologies and vendors through structured PoCs and technical assessments.
• Oversee automated infrastructure provisioning and platform scalability using Terraform and other DevOps tools.
• Enable actionable insights for business teams through Power BI integration and support for enterprise reporting.