Lead Platform Engineer

Job Description

Appealing Points:

• Build Modern Azure-Based Data Platforms Design and develop scalable Data Lakes and Data Marts using Medallion architecture and enterprise-grade modeling best practices.
• Advanced Data Engineering & ETL/ELT Expertise Work hands-on with Azure Data Factory, Synapse, Databricks, Spark, Python, and SQL to integrate and transform complex datasets.
• Agile, DevOps & Secure-by-Design Environment Deliver cloud-native, containerized solutions using CI/CD, Azure Kubernetes, and secure coding practices in a global team setting.

Annual Salary: 8 million yen and above

Responsibilities:

• Modern Data Platform Development:
  • Build data lake components on cloud-based platforms.
  • Design and develop data marts for business analysts and data scientists.
• Data Engineering & Pipelines:
  • Design data pipelines to integrate structured, semi-structured, and unstructured data from multiple sources.
  • Implement ETL/ELT processes to transform and cleanse data.
  • Ensure data quality and transformation rules align with enterprise standards.
  • Work with Medallion architecture and implement best practices for data modeling.
• Agile & DevOps Practices:
  • Deliver solutions using Agile methodologies in a CI/CD-driven environment.
  • Work on containerized solutions (Azure Kubernetes) and scheduling tools like Azure Scheduler.
  • Follow secure coding practices and authentication/authorization protocols.

Job Qualification:

• Education: Bachelor’s degree in Computer Scienceor equivalent.
• Experience:
• 4 - 8 years of experience in data engineering or data application development (ETL/ELT/BI).
• 2+ years of experience in cloud-based data platform development.
• Expertisein building Azure-based data pipelines, including:
  • Azure Data Factory / Synapse
  • DataBricks/ Synapse Spark Pool
  • Cosmos DB
  • Azure Data Lake Storage (ADLS)
  • Dedicated SQL Pool / Azure SQL
  • Azure Logic Apps
• Hands-on experience with data transformation & cleansing using Spark, Python, R, SQL.
• Strong understanding of CI/CD, test-driven development, and domain-driven design.

Skills & Competencies

• Technical Expertise:
  • Proficiencyin Python, SQL, Spark, Azure Data Factory, and ETL processes.
  • Experience in secure coding, authentication, and monitoring tools like Veracode, MS Entra,PingOne.
  • Working knowledge of Azure Kubernetes, Azure DevOps, SonarQube, and Azure AppInsights.
• Soft Skills:
  • Strong communicationand collaboration in global, multi-cultural environments (Japanese experience is a plus).
  • Able to work in a high-paced, diverse environment with a can-do attitude.

Language Requirements:

• Japanese: Business level or higher
• English: Business Level

Company Description

Our Client has operations in more than 40 countries and holds leading market positions in the United States, Japan, Latin America, Asia, Europe, and the Middle East. We are ranked #43 on the Fortune 500 list for 2018. With over 150 years of experience, the companies offer life, accident and health insurance, retirement, and savings products through agents, third-party distributors such as banks and brokers, and direct marketing channels. Our name is recognized and trusted by approximately 100 million customers worldwide, and we serve more than 90 of the top 100 FORTUNE 500 companies in the United States.