Added 7 Nov 2026 · Engineering
Job description
Project Role : Data Platform Engineer
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
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
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Pay, skills & work eligibility
Compensation
A clear compensation amount was not identified. Ask the employer for the range, currency, pay period and whether it covers base pay or total compensation.
Location, eligibility & working hours
- Listed work location
- Bengaluru, India
- Visa sponsorship
- Not stated clearly
- Relocation support
- Not stated clearly
- Working hours / time zone
- Not stated clearly
- Work authorization wording
- All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by
Remote does not automatically mean work from any country. A location match does not confirm work authorization, sponsorship or relocation eligibility.
Requirements at a glance
Named skills identified in the listing. A mention is not always a requirement; read the full description and employer conditions.
Location & work arrangement
Listed work locations
- Bengaluru, India