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Senior Data Modeler

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Onsite

Senior Data Modeler

Accenture

Senior Data Modeler

Skills

Data EngineeringData AnalysisAI

1 month ago

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Important information


Contract type:

Permanent

Location:

Metro Manila, Philippines

Work mode:

Onsite

Published on:

22 September 2026

What they need


Job Summary

Join our Data & AI team as a Data Modeling Architect, where you will design scalable, high-performance data models and modern data platforms that power enterprise analytics, reporting, and AI-driven initiatives. You will work closely with clients and cross-functional teams to translate business requirements into robust data architectures, lead data modeling workshops, and define solutions that enable data-driven decision-making.

Key Responsibilities

  • Lead discovery sessions and design workshops to understand business and data requirements.
  • Design and develop conceptual, logical, and physical data models for enterprise data platforms.
  • Create dimensional, 3NF, NoSQL, and cloud-based data models aligned with business needs.
  • Define data architecture, solution blueprints, project scope, and delivery estimates.
  • Drive data quality, governance, and best practices across data initiatives.
  • Collaborate with data engineers, architects, and business stakeholders to deliver scalable solutions.
  • Produce data modeling documentation and secure stakeholder sign-off.

Qualifications

Must-Have:

  • 7+ years of IT experience, including 3+ years in Data Modeling.
  • Strong expertise in Dimensional Modeling, 3NF Modeling, and/or NoSQL Data Modeling.
  • Experience designing databases on at least one cloud platform.
  • Solid understanding of Data Warehousing, ETL, Data Integration, and Modern Data Platforms.
  • Hands-on experience with data modeling tools such as Erwin, ER Studio, or equivalent.
  • Strong analytical, solutioning, communication, and stakeholder management skills.

Nice-to-Have:

  • Experience with Data Vault, Graph Databases, RDF, Semantic Modeling, or Ontologies.
  • Knowledge of Data Lakes, Cloud Analytics, and Cloud Data Engineering.
  • Familiarity with Data Architecture principles and enterprise-scale data ecosystems.

Why Join Us?

  • Work on cutting-edge cloud, analytics, and AI transformation projects.
  • Collaborate with industry-leading architects and data professionals.
  • Influence enterprise data strategy and modern data platform design.
  • Accelerate your career in a fast-growing Data & AI practice.

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