8-10 years of experience in data engineering, data platform architecture, or related domains.

Proven expertise designing enterprise-scale Azure data platforms and integration architectures.

Strong hands-on experience with Azure Data Factory, Azure Databricks, and PySpark.

Deep understanding of lakehouse architecture, data warehousing, and data lake design patterns.

Experience defining metadata-driven frameworks and reusable architecture standards.

Strong knowledge of Azure security, governance, and compliance best practices.

Experience with DevOps, CICD automation, infrastructure as code, and release management.

Excellent leadership, stakeholder management, and mentoring capabilities.

Solid analytical, troubleshooting, and architectural decision-making skills.

We are seeking an experienced Senior Data Architect to lead the design and evolution of enterprise-scale Azure data and integration platforms for Advantest.



The role combines architecture ownership, hands-on engineering leadership, governance, and solution design across large-scale data ingestion, transformation, storage, and analytics ecosystems. The ideal candidate will possess deep expertise in Azure Data Factory, Azure Databricks, PySpark, ADLS Gen2, and modern lakehouse architectures, with the ability to define enterprise standards, mentor engineering teams, and drive scalable, secure, and high-performing solutions.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Associate Data Architect (Bengaluru)
🏢 ITC Infotech
📍 Bengaluru