Database Architect

Job Title

Azure Data Engineer / Database Architect

Location

Taguig City

Work Location

23/F W City Center

30th Street corner 7th Avenue

Taguig City, PHL 1634

Work Setup

Hybrid – 4x/8x per month

Category

Information Technology

Labour Type

Technical

PR Rate

PHP 1200/hour

Shift Schedule

APAC Shift

Experience Required

3+ years

Educational Requirement

Bachelor's Degree or higher in Computer Science, Information Technology, Engineering, or related field

Job Description

We are seeking a skilled Azure Data Engineer / Database Architect to join our growing technology team. The ideal candidate will have strong experience in cloud-based data platforms, database technologies, and ETL/data integration processes.

The role requires hands-on expertise in Azure data services, SQL development, and modern data engineering practices to support enterprise-scale data solutions and business operations.

Key Responsibilities

• Design, develop, and maintain scalable data solutions using Azure technologies

• Build and optimize ETL/ELT pipelines for enterprise data integration

• Work with structured and unstructured datasets across multiple platforms

• Develop and maintain data workflows using Azure Data Factory and Azure Databricks

• Manage and support database systems including Microsoft SQL Server, Azure SQL, and Oracle

• Perform database optimization, troubleshooting, and performance tuning

• Collaborate with cross-functional teams to gather business and technical requirements

• Ensure data quality, integrity, security, and governance standards are maintained

• Support cloud migration and modernization initiatives

• Create technical documentation and provide ongoing operational support

Required Skills

• Microsoft SQL Server

• Azure SQL

• Oracle Database

• Azure Databricks

• Azure Data Lake Storage Gen2 (ADLS Gen2)

• Azure Data Factory

• Python

• SQL

• PL/SQL

Preferred Qualifications

• Experience working in enterprise or large-scale cloud environments

• Strong analytical and problem-solving skills

• Exposure to data warehousing and big data technologies

• Knowledge of Azure cloud ecosystem and best practices

• Ability to work in APAC shift schedules

Overtime Eligibility

Yes, via vendor

Interview Process

Interview Method

Virtual

Interview Rounds

• 1st Round Interview

Equal Opportunity Statement

We are an equal opportunity employer and value diversity at all levels of the organization. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, disability, age, or any other protected characteristic under applicable laws. We are committed to creating an inclusive environment where everyone can thrive professionally.