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Accenture Philippines is seeking a Data Modeling Architect to design scalable, high-performance data models and modern data platforms powering enterprise analytics and AI initiatives.
You will lead data modeling workshops, translate business requirements into robust architectures, collaborate with data engineers and stakeholders, and deliver documented solutions with clear sign-off across projects.
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.
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.
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.
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.
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.