Job description
Project Role : Data Architect
Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.
Must have skills : AI & Data Solution Architecture
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the architecture aligns with business needs and technical specifications. You will collaborate with various teams to ensure that data flows seamlessly across systems, while also addressing any challenges that arise in the data architecture process. Your role will be pivotal in shaping the data landscape of the organization, enabling effective data management and utilization.
Roles & Responsibilities:
- Expected to be an SME.
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Expected to provide solutions to problems that apply across multiple teams.
- Facilitate knowledge sharing sessions to enhance team capabilities.
- Develop and maintain documentation related to data architecture and design.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data & AI Solution Architecture.
- Strong understanding of data modeling techniques and best practices.
- Experience with cloud-based data solutions and architectures.
- Familiarity with data integration tools and methodologies.
- Ability to design scalable and efficient data storage solutions.
Additional Information:
- The candidate should have minimum 12 years of experience in Data & AI Solution Architecture.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
This job post has been translated by AI and may contain minor differences or errors.
