Job Description

About the Role:

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. The role focuses on building and evolving an enterprise-grade data platform on Google Cloud Platform (GCP) , incorporating real-time and batch data ingestion , data governance , and advanced analytics enablement through AI/ML and BI tools.

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.

Required Skills & Qualifications:

• 10+ years of experience in data engineering, data architecture , or related roles.
• Strong hands-on experience with Google Cloud Platform (GCP) services and architecture.
• Expertise in big data ecosystems including Hadoop, Apache Spark/Spark Streaming, and Kafka.
• Solid understanding of data ingestion patterns , data lake architecture, and data modeling techniques.
• Experience with Databricks platform and enabling ML/AI workloads.
• Proficient in Java and Python for building data pipelines and services.
• Familiarity with ETL tools such as Talend , and infrastructure-as-code with Terraform .
• Working knowledge of data governance tools (e.g., Collibra ) and best practices.
• Experience in integrating with BI tools like Power BI for analytics delivery.
• Excellent communication and leadership skills with the ability to influence and drive decisions.

Preferred Qualifications:

• GCP or Databricks certifications.
• Experience working in hybrid cloud environments or on large enterprise data transformation initiatives.
• Familiarity with SAP data structures and integration techniques.

Job Tags

Similar Jobs