AI Architect

Location: Prakāshamnagar

Job Overview:
We are seeking a skilled Data Solution Architect to design Solution and Lead the implementation on GCP (incl Vertex AI). The ideal candidate will possess extensive experience in data Architecting, Solution design and data management practices.

Responsibilities:

Architect and design end-to-end data solutions on Cloud Platform, focusing on data warehousing and big data platforms.
Collaborate with clients, developers, and architecture teams to understand requirements and translate them into effective data solutions.
Develop high-level and detailed data architecture and design documentation.
Implement data management and data governance strategies, ensuring compliance with industry standards.
Architect both batch and real-time data solutions, leveraging cloud native services and technologies.
Design and manage data pipeline processes for historic data migration and data integration.
Collaborate with business analysts to understand domain data requirements and incorporate them into the design deliverables.
Drive innovation in data analytics by leveraging cutting-edge technologies and methodologies.
Demonstrate excellent verbal and written communication skills to communicate complex ideas and concepts effectively.
Stay updated on the latest advancements in Data Analytics, data architecture, and data management techniques.

Requirements

Minimum of 5 years of experience in a Data Architect role, supporting warehouse and Cloud data platforms/environments.
Experience in E2E solution design including data mesh (data products)

Experience with common GCP services such as Big Query, Dataflow, GCS, Service Accounts, cloud function, Vertex AI
Extremely strong in Big Query design, development
Extensive knowledge and implementation experience in data management, governance, and security frameworks.
Proven experience in creating high-level and detailed data architecture and design documentation.
Strong aptitude for business analysis to understand domain data requirements.
Proficiency in Data Modelling using any Modelling tool for Conceptual, Logical, and Physical models is preferred
Hands-on experience with architecting end-to-end data solutions for both batch and real-time designs.
Ability to collaborate effectively with clients, developers, and architecture teams to implement enterprise-level data solutions.
Familiarity with Data Fabric and Data Mesh architecture is a plus.
Excellent verbal and written communication skills.