Job Overview

Kyndryl is hiring for a Dynatrace Architect role in Bangalore with a partially remote work arrangement. The position focuses on architecting data infrastructure and pipelines that support AI-driven systems, including Retrieval-Augmented Generation (RAG), vector retrieval, semantic data layers, and reliable data engineering workflows.

The role combines data engineering, cloud modernization, data quality, and software engineering practices. The successful candidate will work with complex enterprise data and help create dependable infrastructure for AI and agentic reasoning use cases.

Key Responsibilities

• Design and scale data pipelines supporting Retrieval-Augmented Generation (RAG) and transform large volumes of unstructured IT logs and documentation into optimized vector embeddings.
• Support the performance and reliability of vector database infrastructure using platforms such as Pinecone, Milvus, and Weaviate.
• Build semantic layers and knowledge-oriented data structures that provide useful context for AI agents working with complex infrastructure data.
• Develop automated data-quality controls to identify noise, bias, and personally identifiable information before data reaches AI models.
• Investigate data-quality issues at their source and connect raw enterprise data with downstream AI engineering requirements.
• Build, deploy, and maintain CI/CD pipelines for data infrastructure so that data context remains reliable and current.
• Work with technical and non-technical stakeholders to understand business needs and translate them into technical requirements.

Required Skills

• Strong expertise in data mining, data storage, and Extract Transform Load (ETL) processes.
• Experience developing data pipelines and using related tooling such as Databricks, Synapse, Glue, or Dataproc.
• Experience working with relational and NoSQL databases, including PostgreSQL, MongoDB, and DB2.
• Strong problem-solving, analytical, and critical-thinking abilities.
• Ability to manage multiple projects while maintaining attention to detail.
• Strong communication skills for working with both technical and non-technical colleagues.

Preferred Skills

• Experience in data engineering and/or cloud modernization.
• Knowledge of data modelling and the creation of conceptual models showing how data connects and supports business processes.
• Professional certification related to data engineering, such as an Open Certified Technical Specialist with Data Engineering Specialization.
• Cloud certifications such as AWS Certified Data Analytics, Elastic Certified Engineer, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate.
• Understanding of social coding and integrated development environments, including GitHub and Visual Studio.

Education

A degree in a scientific discipline such as Computer Science, Software Engineering, or Information Technology is preferred.

Technologies

• Extract Transform Load (ETL) – Used for data transformation and pipeline workflows.
• Databricks – Listed as an example of tooling for data pipeline development.
• PostgreSQL – Required relational database experience.
• MongoDB – Required NoSQL database experience.
• Pinecone, Milvus, and Weaviate – Referenced as vector database platforms for retrieval infrastructure.
• Retrieval-Augmented Generation (RAG) – Used to build pipelines for AI-oriented retrieval workflows.
• GitHub and Visual Studio – Referenced in the preferred development environment.

Work Mode & Location

This is a partially remote position based in Bangalore, Karnataka, India. The job is listed as full time.

Who Should Apply

This opportunity is relevant to professionals with strong data engineering capabilities, experience with data pipelines and databases, and an interest in cloud modernization and AI-oriented data infrastructure. Candidates should be comfortable solving complex data problems and communicating requirements across technical and business teams.

Kyndryl also highlights a growth mindset, customer focus, inclusive collaboration, and willingness to work across organizational boundaries as important qualities for the role.

Career Growth

Kyndryl describes the role as an opportunity to develop professionally through hands-on experience, learning opportunities, and access to certification paths across major technology platforms. The position can provide exposure to data engineering, cloud modernization, AI infrastructure, and enterprise technology environments.

How to Apply

Apply now through SoftoJobs to explore this opportunity.