Data Architect
Design and implement data models and scalable architectures on Google Cloud Platform (BigQuery, Cloud Spanner), collaborating with data engineers and analysts to improve data governance, security, and performance across the organization.
- Compensation
- Not disclosed
- Location
- Hyderabad, Telangana
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 6+ years
- Category
- Architecture
- Posted
Skills
Must have
- Proficiency in Google Cloud Platform (GCP) and its services, particularly BigQuery and Cloud Spanner
- Strong understanding of data architecture principles and best practices
- Experience in data modeling and data management
- Ability to work collaboratively and communicate effectively with technical and non-technical stakeholders
- Problem-solving skills and a proactive approach to identifying and addressing data-related challenges
Full description
We are seeking a skilled Data Architect to join our team in Andhra Pradesh. The ideal candidate will have a strong background in designing and implementing data solutions using Google Cloud Platform (GCP) technologies. As a Data Architect, you will be responsible for creating robust data architectures that support our business objectives and enhance data accessibility and usability across the organization.
Key Responsibilities:
- Design and implement data models and architectures that meet the needs of various stakeholders.
- Utilize GCP services such as BigQuery and Cloud Spanner to build scalable and efficient data solutions.
- Collaborate with data engineers, analysts, and other stakeholders to ensure data integrity and availability.
- Develop best practices for data management and governance to ensure compliance and security.
- Analyze and optimize existing data systems and processes for improved performance.
- Stay updated with the latest trends and technologies in data architecture and cloud computing.
Required Skills:
- Proficiency in Google Cloud Platform (GCP) and its services, particularly BigQuery and Cloud Spanner.
- Strong understanding of data architecture principles and best practices.
- Experience in data modeling and data management.
- Ability to work collaboratively in a team environment and communicate effectively with technical and non-technical stakeholders.
- Problem-solving skills and a proactive approach to identifying and addressing data-related challenges.
If you are passionate about data architecture and have the required skills and experience, we encourage you to apply for this exciting opportunity to shape our data strategy and drive innovation within our organization.