Data Architect

GCash; Metro Manila; On-site; PHP 1,800,000 - 2,400,000; Full time

Benefits offered by this job

Competitive compensation

Flexible benefits package

Career growth opportunities

Job summary

GCash is seeking a senior Data Architect to align data strategy with business goals and architect scalable data solutions across the enterprise. You will document data products, guide information value chain analysis, and champion data governance and security across the organization.

The role requires extensive hands-on experience with OLAP/OLTP, real-time data movement, and cloud platforms (AWS/GCP/Azure). Strong SQL and scripting skills (Python, Java, Spark, Kafka) are essential for success.

Qualifications

• Bachelor’s Degree holder in a computer-related field with 6+ years in data architecture, modeling, and DB design.
• 5+ years of OLAP/OLTP, data warehousing, or data lake implementations.
• Hands-on cloud experience (AWS, GCP, Azure); AliCloud a plus.
• Experience implementing data architecture solutions with proven design patterns.
• Knowledge of modern data architecture practices and emerging data tech trends.
• Strong SQL and scripting skills (Python, Java, Spark, Shell, Kafka).

Responsibilities

• Align data strategy and roadmap with business strategy and design change-ready data architectures.
• Document data products and act as consultant for information value chain analysis.
• Lead data governance advocacy and align architecture with data management and security.
• Provide guidance on data modeling, data flow design, and end-to-end data tech landscape.
• Establish domain-level data models for system integration across platforms.
• Plan and implement modern data architecture needs like real-time movement and data virtualization.

Skills

Data architecture

SQL

Python

Java

Spark

Kafka

Data modeling

Data governance

Education

Bachelor’s Degree in CS/IT or related fields

Tools

AWS

GCP

Azure

AliCloud

Job description

Job Description

Do you want to take the first step in making Filipinos’ lives better everyday? Here in GCash we want to stay at the forefront of the FinTech industry by creating innovative, meaningful, and convenient financial solutions for the nation! G ka ba? Join the G Nation today!

Who you’ll be working with

If you have a strong background in IT, computer science, or software engineering, and are analytical, technologically savvy, solutions and process-focused, then the Technology & Operations team may be for you!

You will be responsible for the following

• Align data strategy and roadmap with the business strategy, and revolve data architecture solutions around it, making systems built for change given the evolving company’s business strategies and data needs.
• Develop and maintain thorough documentation of underlying data and data products, provide guidance on maximizing use of data, and become the main consultant for information value chain analysis of the organization.
• Align data architecture initiatives with data management and security practices and be an ambassador of data governance across the organization.
• Provide strategic and tactical guidance on data modeling, data flow design and data technology end-to-end landscape of the organization.
• Establish, maintain and enforce domain level data models, if needed, to ensure integration of models on systems and data platforms.
• Plan and implement modern data architecture needs such as real-time data movement, data virtualization or using emergent technologies and industry trends, improving the data maturity and materializing the data roadmap for the company.

We’re looking for

• Bachelor’s Degree holder of any computer related course with minimum 6 year experience as a data architect, data modeling and database design, both on relational and big data, or providing data designing, data structuring, or data solutioning.
• 5+ years of solid experience of OLAP/OLTP databases/data warehousing/data lake implementations.
• Hands-on experience with cloud services like AWS, GCP, Azure, etc. Experience on AliCloud is a big plus.
• Experience in implementing data architecture solutions based on proven design patterns for big data and other enterprise platforms.
• Knowledgeable on modern data architecture practices, emerging technologies and trends on data management and platforms.
• Knowledgeable in SQL, and advanced scripting languages for data engineering (Python,Java, Spark, Shell, Kafka, etc.)

What We Offer

Opportunity for career growth and development in the #1 FinTech company in the country Working with a dynamic and highly collaborative team who want to change the game A company that values their people with highly competitive and flexible compensation and benefits package