Overview
The AIML Architect-Dataflow, BigQuery is a pivotal role in our organization, focusing on the design, implementation, and optimization of data architectures within Google Cloud’s BigQuery setting. This position combines advanced data analytics with artificial intelligence and machine learning techniques to develop efficient data models that enhance decision-making processes across departments. The Architect will be responsible for building data pipeline solutions that leverage BigQuery and Dataflow functionalities, thereby ensuring high performance, scalability, and resilience in our data workflows. Collaboration with data engineers, data scientists, and application developers is crucial to ensure alignment with the business goals and technical vision. This role requires an individual who possesses a deep understanding of cloud-native architectures and is passionate about utilizing state-of-the-art technologies to drive innovation, efficiency, and insights from vast datasets. The ideal candidate will have a robust background in data processing and AI/ML methodologies,



being capable of translating complex technical requirements into scalable solutions that meet the evolving needs of the organization.
Key Responsibilities
Design and architect data processing solutions using Google Cloud BigQuery and Dataflow.
Develop data pipeline frameworks that support batch and real-time analytics.
Implement machine learning algorithms to extract insights from large datasets.
Optimize data storage and retrieval processes to enhance performance.
Work closely with data scientists to build scalable models.
Ensure data quality and integrity throughout the data lifecycle.
Collaborate with cross-functional teams to align data workflows with business objectives.
Conduct technical evaluations and assessments of current tools and technologies.
Manage large-scale data migrations to cloud environments.
Document architecture designs and maintain technical specificat

📌 Aiml Architect Dataflow,bigquery Chennai
🏢 Cortex Consultants
📍 Chennai