Data Architect
Job Summary
| Location: | Chennai and Noida, India |
| Last Date to Apply: | Jun 30, 2012 |
| Designation: | Technical Architect |
| Qualification: | BCA, B.Sc., B.Tech, M.Sc., M.Tech, MCA, MS |
| Desired skills | Oracle PLSQL / SQL Server |
| Job Type | Permanent |
| No of Vacancies | 4 |
| Experience: | 10 - 16 Years |
Job Description
The ideal candidate should possess:
- Excellent experience in creating logical and physical data models for large complex applications and translating logical database models into database design at least on one database platforms like Oracle, SQL Server etc.
- Ability to perform the data analysis activities to capture data requirements clearly, completely and correctly, and represent them in a formal and visual way through the data models.
- Responsible for study and understanding of business needs, study of data sources/systems and understanding/preparing requirement documents and mapping to architecture
- Good understanding and experience both in relational and dimensional data architecture & modeling.
- Ability to understand business value of the data at all stages and then formulate and establish the entire data lifecycle from creation to archive/destruction.
- Ability to assist ETL development efforts, making sure that the business rules are implemented correctly and clarifying issues as they arise.
- Ability to understand data quality issues and propose alternative approaches to manage these issues.
- Ability to champion and protector of data from definition to interpretation and through entire software lifecycle.
- Responsible for providing definition and ownership for metadata including data sources, business rules, data rules, extract rules and transformations
- Good understanding and experience in implementing data privacy and data security
- Ability to understand functional requirements or Business KPIs definitions and convert it into logical data model.
- Ability to evaluate and recommend softwares/tools etc for data management.
- Ability to formulate and establish data governance processes in a specific client requirements.

