Senior Data Architect - Java, ETL & Analytics

Onsemi; Hinoba-an; On-site; PHP 1,000,000 - 1,500,000; Full time

Job summary

onsemi is seeking a Data Architect / Systems Analyst to lead design, development, and support of enterprise manufacturing data and analytics solutions. Focus on Exensio, Tableau, and data platforms, leveraging Java and Python across global operations.

Responsibilities include designing data integration, ETL, and automation, collaborating with engineering and IT in Agile/Scrum environments, and supporting cloud–hybrid deployments to enable data-driven decisions.

Qualifications

• Experience in data architecture, integration, and ETL development.
• Proficiency in Java, Python, SQL, and Unix scripting.
• Knowledge of data governance, quality, and optimization practices.

Responsibilities

• Design, develop, and maintain data integration, ETL, and data collection solutions.
• Analyze requirements and translate into scalable technical solutions.
• Develop, test, deploy, and support applications using best practices.
• Extract, transform, and integrate data from multiple sources for quality and accessibility.
• Optimize data pipelines, storage, and processing for performance and scalability.
• Design and implement containerized data workflows and integration services.
• Provide maintenance, production support, and enhancement delivery.
• Collaborate with cross-functional teams using Agile/Scrum.
• Support cloud migration and hybrid integration between on-prem and cloud.
• Evaluate technologies and improve data architecture and analytics capabilities.

Skills

Data architecture

ETL development

Java

Python

SQL

Big Data

Tableau

Cloud

Agile/Scrum

Data governance

Education

Bachelor's degree

Tools

Vertica

Cassandra

Hadoop

Spark

Tableau

TIBCO Spotfire

Oracle

PostgreSQL

Job description

onsemi is seeking a Data Architect / Systems Analyst to lead design, development, and support of enterprise manufacturing data and analytics solutions. Focus on Exensio, Tableau, and data platforms, leveraging Java and Python across global operations.

Responsibilities include designing data integration, ETL, and automation, collaborating with engineering and IT in Agile/Scrum environments, and supporting cloud–hybrid deployments to enable data-driven decisions.