Data Architect & Metadata Strategy Leader

Capgemini; Metro Manila; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

Capgemini is seeking a Data Architect & Metadata Lead to define enterprise data and metadata architecture across systems, EDP, MDM, and APIs. You will establish metadata models, data lineage, and ERDs while ensuring governance and quality of data assets.

The role requires experience with Azure Databricks, MDM, and API ecosystems, and familiarity with Purview, Collibra, or Informatica data catalogs. Collaboration with multiple teams is essential.

Qualifications

• Proven experience in Enterprise Data Architecture or Information Architecture.
• Strong knowledge of metadata management, data lineage, and data governance.
• Experience with Azure Databricks/EDP, MDM, and API ecosystems.
• Knowledge of data catalog tools such as Purview, Collibra, Informatica.

Responsibilities

• Own domain data architecture and metadata architecture.
• Assess source systems and determine System of Record strategies.
• Define and maintain metadata models, data lineage, and ERDs.
• Develop source-to-target mappings across EDP, MDM, and APIs.
• Establish metadata governance standards and processes.
• Drive adoption of metadata/catalog tools (Purview, Collibra, Informatica).
• Collaborate with business, governance, EDP, MDM, API and architecture teams.

Skills

Data architecture

Metadata management

Data lineage

Canonical data models

ERDs

SOR assessment

Data governance

Data integration

Azure Databricks

MDM

APIs

Stakeholder management

Communication

Analytical thinking

Documentation

Tools

Purview

Collibra

Informatica EDC

Informatica CDGC

Job description

Capgemini is seeking a Data Architect & Metadata Lead to define enterprise data and metadata architecture across systems, EDP, MDM, and APIs. You will establish metadata models, data lineage, and ERDs while ensuring governance and quality of data assets.

The role requires experience with Azure Databricks, MDM, and API ecosystems, and familiarity with Purview, Collibra, or Informatica data catalogs. Collaboration with multiple teams is essential.