Posted:
12/25/2025, 2:54:50 PM
Location(s):
Semarang, Central Java, Indonesia ⋅ Central Java, Indonesia
Experience Level(s):
Senior
Field(s):
Data & Analytics
We are seeking a Senior Data Modeler with advanced proficiency in data modeling techniques and methodologies. The role involves designing, implementing, and optimizing data models that enable effective data storage, access, and integration across enterprise systems. The ideal candidate will collaborate with cross-functional teams to ensure data solutions align with business requirements and support scalable, high-performance analytics and reporting.
Design, develop, and maintain conceptual, logical, and physical data models to support enterprise applications and business intelligence solutions.
Apply best practices in data modeling methodologies (e.g., ER modeling, dimensional modeling, normalization/denormalization).
Collaborate with data engineers, architects, and business analysts to ensure models meet business, technical, and performance requirements.
Optimize and maintain data structures for scalability, efficiency, and reliability.
Conduct data analysis, profiling, and mapping to support system integrations and migrations.
Document data models, metadata, and standards to ensure consistency and governance.
Provide guidance on data modeling tools, methodologies, and industry standards.
Minimum Requirements:
Bachelor’s Degree in Computer Science, Information Systems, Data Management, or a related field.
Advanced proficiency in data modeling techniques and methodologies.
Minimum of 2 years’ experience in data modeling, data architecture, or related fields.
Experience with data modeling tools (e.g., ERwin, PowerDesigner, SQL Developer Data Modeler, or equivalent).
Strong understanding of relational databases (RDBMS) and data warehousing concepts.
Familiarity with ETL processes, data governance, and data quality principles.
Preferred Qualifications:
Knowledge of cloud-based data platforms (e.g., AWS Redshift, Azure Synapse, Google BigQuery).
Exposure to NoSQL and big data technologies.
Excellent analytical, problem-solving, and communication skills.
Ability to work collaboratively in a cross-functional, global environment.
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Website: https://accenture.com/
Headquarter Location: Dublin, Dublin, Ireland
Employee Count: 10001+
Year Founded: 1989
IPO Status: Public
Last Funding Type: Grant
Industries: Business Information Systems ⋅ Construction ⋅ Consulting ⋅ Information Services ⋅ Information Technology ⋅ Infrastructure ⋅ Management Consulting ⋅ Outsourcing