Director - Data Architect & AI

Saaki Argus And Averil Consulting; Chennai District; On-site; INR 12,00,000 - 20,00,000; Full time

Job summary

A consulting firm in Chennai, Tamil Nadu is seeking an experienced data architect to develop and maintain data architectures optimized for AI and machine learning workflows. Responsibilities include managing large volumes of data, ensuring data quality, and collaborating with data scientists. The ideal candidate should have expertise in AI/ML, big data technologies, and cloud platforms like AWS and Azure. This role offers an exciting opportunity to work on advanced analytics projects.

Qualifications

• Expertise in AI/ML data architecture.
• Proficiency with cloud platforms (AWS, Azure, Google Cloud).
• Strong understanding of data integration and ETL processes.
• Knowledge of data governance and compliance frameworks.

Responsibilities

• Develop and maintain data architectures for AI/ML workflows.
• Manage data availability and quality for AI/ML applications.
• Collaborate with data scientists to optimize data flows.
• Architect and manage cloud-based data platforms.

Skills

AI/ML data architecture

Data modeling

Big data technologies

Cloud platforms

Data integration

ETL processes

Data governance

Real-time data processing

Tools

Hadoop

Spark

Kafka

AWS

Azure

Google Cloud

Job description

Roles & Responsibilities:

Develop and maintain data architectures optimized for AI/ML workflows, ensuring data pipelines, storage, and models are scalable and efficient for advanced analytics.

Design and implement data models that support machine learning, AI systems, and data analytics platforms, integrating data from diverse sources (structured and unstructured) into a unified architecture.

Manage large volumes of data and ensure its availability and quality for AI/ML applications, leveraging technologies such as Hadoop, Spark, and cloud platforms (AWS, Azure, Google Cloud) to process and analyze data at scale.

Collaborate with data scientists and AI teams to ensure that the data architecture supports the development, training, and deployment of machine learning models, optimizing data flows for model training and performance.

Architect and manage cloud-based data platforms that support AI/ML and analytics workloads, designing solutions for efficient storage, processing, and retrieval of data in cloud environments.

Preferred candidate profile

Expertise in AI/ML data architecture, data modeling, and big data technologies (e.g., Hadoop, Spark, Kafka, SQL/NoSQL databases).

Proficiency with cloud platforms (AWS, Azure, Google Cloud) and data storage solutions for AI/ML applications.

Strong understanding of data integration, ETL processes, and real-time data processing.

Knowledge of data governance, privacy, and compliance frameworks in the context of AI and analytics.