Data Engineering Manager: Scale Data Warehouses & Teams

Globe Telecom, Inc.; Metro Manila; On-site; PHP 1,800,000 - 2,400,000; Full time

Benefits offered by this job

Career growth

Competitive compensation

Flexible benefits

Job summary

GCash is seeking a Senior Data Engineering Leader to manage data resources, drive warehousing, analytics, and scalable data sharing. You will own data environments and contribute hands-on when required, shaping standards and practices across the team.

You will mentor data engineers, oversee capacity planning and budgeting, ensure data quality and security, and collaborate with business and tech stakeholders to deliver reliable data for decision-making across the organization.

Qualifications

• 5+ years of demonstrated strength in SQL, data modeling, ETL development, and data warehousing.
• 5+ years maintaining data warehouses and performing large-scale data transformation using EMR, Hadoop, Hive, or comparable big data technologies.
• Experience mentoring and managing data engineers.
• Experience with hardware provisioning, capacity forecasting, and budget management.
• Proven ability to communicate outcomes in writing and to engage effectively with both business and technical audiences.
• Track record of leading, managing, and hiring strong engineering talent.
• Proficiency in at least one modern programming language (e.g., Python, Ruby, Scala, or Java).

Responsibilities

• Manage existing data resources and introduce technologies and tooling that advance data warehousing, science, analytics, and scalable data sharing.
• Own data environments (e.g., data warehouse and data-sharing platforms), with the capacity to contribute hands-on development when needed.
• Oversee the design of data usage processes that support teams across the organization.
• Gather and clarify requirements through direct engagement with business, science, and software development stakeholders.
• Define and uphold Data Warehousing Engineering Standards & Practices covering versioning, readability, functionality, extensibility, data quality, test results, deployment, post-deployment, and hypercare.
• Lead system knowledge management, as well as team resourcing, performance management, and capacity management (e.g., hiring, onboarding/bootcamps, career development, KPI monitoring).
• Ensure data domain quality and reliability, including uptime for automation jobs and data pipelines.
• Enforce data security practices across pipelines.
• Manage data and report migration activities as required.

Skills

SQL & data modeling

ETL & data warehousing

Big data tech (EMR/Hadoop/Hive)

Mentoring data engineers

Hardware provisioning & capacity

Written communication

Engineering leadership

Programming: Python/Scala/Java/Ruby

Tools

EMR

Hadoop

Hive

Job description

GCash is seeking a Senior Data Engineering Leader to manage data resources, drive warehousing, analytics, and scalable data sharing. You will own data environments and contribute hands-on when required, shaping standards and practices across the team.

You will mentor data engineers, oversee capacity planning and budgeting, ensure data quality and security, and collaborate with business and tech stakeholders to deliver reliable data for decision-making across the organization.