Senior Enterprise Data Modeler: Governance & DW

Ascendion; Makati; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

Ascendion seeks a Senior Data Architect in Metro Manila to lead enterprise data modeling initiatives, designing conceptual, logical, and physical data models, and shaping data warehouse architectures. You will drive metadata governance and collaborate across business domains to implement scalable analytics platforms.

Responsibilities include establishing data standards, reviewing modernization efforts, and applying strong SQL and data analysis to deliver robust data solutions for analytics teams.

Qualifications

• 5+ years of hands-on data modeling experience.
• Strong experience in Enterprise Data Architecture.
• Proven experience designing conceptual, logical, and physical data models.
• Strong experience in Data Mart Design and Data Warehouse environments.
• Hands-on experience with Metadata Management and Data Governance.
• Experience designing large-scale enterprise data models across multiple business domains.
• Experience establishing and implementing enterprise data standards, policies, and governance frameworks.
• Experience reviewing and modernizing data warehouses, data marts, reporting platforms, and analytical datasets.
• Proficiency with data modeling tools such as ERwin, ER/Studio, PowerDesigner, or similar.
• Strong SQL and data analysis skills.

Skills

Data Modeling

Data Architecture

Data Modeling Stages

Data Mart Design

Metadata Management

Data Governance

Enterprise Data Modeling

Data Standards & Governance

Data Warehouse Modernization

SQL

Data Analysis

Data Modeling Best Practices

Analytics Platforms

Stakeholder Collaboration

Tools

ERwin

ER/Studio

PowerDesigner

Job description

Ascendion seeks a Senior Data Architect in Metro Manila to lead enterprise data modeling initiatives, designing conceptual, logical, and physical data models, and shaping data warehouse architectures. You will drive metadata governance and collaborate across business domains to implement scalable analytics platforms.

Responsibilities include establishing data standards, reviewing modernization efforts, and applying strong SQL and data analysis to deliver robust data solutions for analytics teams.