Accenture
Data Modeler
Bengaluru · Chennai · Hyderabad · Pune · Kolkata
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hirly's read of this role
- Seniority
- Mid level
- Country
- IN
- Work mode
- On-site / unstated
- First seen by hirly
- 3 Oct 2026
Derived automatically from the posting. Upload your resume above to see how the role scores against it.
the posting
- Project Role : Data Modeler
- Project Role Description : Work with key business representatives, data owners, end users, application designers and data architects to model current and new data.
- Must have skills : Data Modeling Techniques and Methodologies
- Good to have skills : NA
- Minimum 5 year(s) of experience is required
- Educational Qualification : 15 years full time education
- Summary:
- As a Data Modeler, you will be responsible for understanding business requirements, data mappings, create and maintain data models through different stages using data modeling tools and handing over the physical design/DDL scripts to the data engineers for implementations of the data models. Your role involves creating and maintaining data models, ensuring performance and quality or deliverables.
- Experience
- - Overall IT experience (No of years) - 7+
- - Data Modeling Experience - 3+
- Key Responsibilities:
- - Drive discussions with clients teams to understand business requirements, develop Data Models that fits in the requirements
- - Drive Discovery activities and design workshops with client and support design discussions
- - Create Data Modeling deliverables and getting sign-off
- - Develop the solution blueprint and scoping, do estimation for delivery project.
Technical Experience:
- Must Have Skills:
- - 7+ year overall IT experience with 3+ years in Data Modeling
- - Data modeling experience in Dimensional Modeling/3-NF modeling/No-SQL DB modeling
- - Should have experience on at least one Cloud DB Design work
- - Conversant with Modern Data Platform
- - Work Experience on data transformation and analytic projects, Understanding of DWH.
- - Instrumental in DB design through all stages of Data Modeling
- - Experience in at least one leading Data Modeling Tools e.g. Erwin, ER Studio or equivalent
- Good to Have Skills:
- - Any of these add-on skills - Data Vault Modeling, Graph Database Modelling, RDF, Document DB Modeling, Ontology, Semantic Data Modeling
- - Preferred understanding of Data Analytics on Cloud landscape and Data Lake design knowledge.
- - Cloud Data Engineering, Cloud Data Integration
- - Must be familiar with Data Architecture Principles.
- Professional Experience:
- - Strong requirement analysis and technical solutioning skill in Data and Analytics
- - Excellent writing, communication and presentation skills.
- - Eagerness to learn new skills and develop self on an ongoing basis.
- - Good client facing and interpersonal skills
- Educational Qualification:
- - B.E. or B.Tech. must
15 years full time education
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.
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