
GCP Data Architect
4 weeks ago
Role & responsibilities
As a Data Architect, you will have the chance to develop and design centralized or distributed systems that both address user requirements and perform efficiently and effectively. You will ensure the viability of proposed solutions by conducting solution assurance assessments and work closely with the project team and key stakeholders to ensure that the final solution meets all customer requirements and expectations.
Required Technical and Professional Expertise:
- 10+ Years experience in data modeling, database design, and data management best practices.
- Proven expertise in architecting data and AI platforms using GCP.
- Hands-on experience with BigQuery, Dataflow, VertexAI, and Gemini.
- Proficiency in Python and SQL for data processing, transformation, and automation.
- Deep understanding of Generative AI, Agentic AI, and related architectures.
- Experience implementing GenAI-based applications using tools such as Langchain and Langraph.
- Solid background in building scalable and secure data pipelines and storage systems in cloud environments.
Preferred Technical and Professional Experience:
- Experience with cloud-based data platforms, integration, and governance frameworks across Azure, AWS, or GCP.
- Knowledge of machine learning lifecycle management, model monitoring, and MLOps best practices.
- Bachelors or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field.
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