AI Data Architect

Tata Consultancy Servicesvapi, India

7 days ago

Job description

Role : - AI Data Architect

Experience- 8 to 15years

Location - PAN India

Job Description

We are seeking an inventive Data Architect for AI with 8–15 years of experience to lead the strategic design and implementation of enterprise-scale AI solutions.

8+ years of experience in ETL / ELT, Big Data cloud data solutioning, with at least 3 years in architectural leadership roles.

Proven track record of delivering enterprise Data solutions on a scale.
Strong understanding of Data models and Data pipelines and cloud-native data architectures.
Excellent communication, stakeholder management, and leadership skills.

Create and document scalable, secure, and cost-effective data architecture in the cloud (AWS / Azure / GCP) to support AI / ML data workloads.

Solution development : Build, optimize, and deploy end-to-end data solutions, such as recommendation data processing engines and data analytic engines.

Data Engineering : Proficiency in Data pipelines, ETL processes, Big Data Analytics and data management (SQL, NoSQL, data cleaning).

Technical implementation : Select and implement appropriate technologies, including data lakes, batch processing, real-time processing systems and MLOps tools.

Collaboration : Work with stakeholders, data scientists, and other teams to translate business requirements into technical specifications and ensure successful technical delivery.

System management : Ensure the reliability, performance, and security of Data & AI intensive systems.

Must-Have Skills :

Cloud Platforms : Deep knowledge and expertise in cloud data services and platforms (AWS, Azure, and Google Cloud).

Data and analytics : Experience in Big data platforms, Data modeling, and Distributed computing frameworks like Databricks, Snowflake, Hadoop or Spark.

AI / ML knowledge : Experience in machine learning frameworks, platforms, and MLOps (Machine Learning Operations) practices.

Programming and scripting : Proficiency in languages like Python, Spark and SQL for data manipulation and system development.

Technical communication : Strong ability to document architectures and communicate complex technical concepts to both technical and non-technical audiences.

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Data Architect • vapi, India

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