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AI Data Architect
Tata Consultancy Servicesanand, gujarat, in16 hours ago
Job descriptionSolution 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. 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.
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.
Must-Have Skills :
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Data Architect • anand, gujarat, in
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