Data Architect

Questronix Corporation; Manila; On-site; PHP 1,200,000 - 1,600,000; Full time

Job summary

Questronix Corporation in Manila is seeking a Data Architect to design robust data architectures, lead integration efforts, and optimize database systems. You will collaborate with data scientists, analysts, and developers to align data solutions with business goals.

The role emphasizes governance, data quality, security, and documentation, with opportunities to implement scalable data models and drive performance improvements across the data stack.

Qualifications

• 2–4 years in data engineering and architecture, database design, and data integration.

Responsibilities

• Design and implement data architectures aligned with business needs and growth plans.
• Collaborate with data engineers to ensure smooth data integration from diverse sources.
• Design and manage data models, schemas, and structures for various data types.
• Establish data governance frameworks, data quality standards, and lifecycle management.
• Ensure compliance with data privacy regulations and security practices.
• Document data architecture designs, data flows, and technical specifications.
• Monitor data system performance and identify bottlenecks for optimization.

Skills

Data engineering

Data architecture

Data integration

Data governance

Data modeling

Tools

SQL Server

MySQL

Informatica

AWS

Job description

• Data Architecture Design - Design, develop and implement data architectures that align with business needs and growth plans. Define data models, schemas and structures for different types of data
• Data Integration - Work closely with data engineers to ensure smooth data integration from various sources. Design and implement ETL (Extract, Transform and Loan) processes.
• Database Management - Optimize and manage databases for performance, scalability, and reliability.
• Data Governance - Establish data governance frameworks, data quality standards, and data lifecycle management processes. Ensure compliance with data privacy regulations and security practices.
• Collaboration - Collaborate with cross-functional teams including data scientists, analysts, software developers, and business stakeholders to understand data requirements and provide suitable solutions.
• Documentation - Document data architecture designs, data flows, and technical specifications. Create and maintain documentation to aid in knowledge sharing and future reference.
• Performance Optimization - Monitor and analyze data system performance. Identify bottlenecks and areas for improvement, and implement solutions to enhance data processing speed and efficiency.

Requirements

Skills and Qualifications:

• At least 2 to 4 years in data engineering and architecture, database design, and data integration.
• Strong understanding of database system, data modeling principles and ETL processes
• Knowledgable of relational databases (SQL Server and MySQL)
• Experience with ETL Tools/Data Warehousing Tools (Informatica, etc) and cloud platform (Amazon Web Services)
• Understanding of data governance, data security, and compliance with regulation