Dynatrace Architect

Overview

Design and operate data infrastructure for AI systems, including retrieval-augmented generation, vector databases, semantic layers, and production data pipelines.

What you'll do

• Design and scale Retrieval-Augmented Generation pipelines.
• Manage vector databases such as Pinecone, Milvus, or Weaviate.
• Build knowledge graphs and semantic layers.
• Automate data guardrails for noise, bias, and PII detection.
• Resolve data quality issues at their source.
• Build, deploy, and maintain CI/CD pipelines for data infrastructure.

What you'll need

• Expertise in data mining, data storage, and ETL processes.
• Experience developing data pipelines with tools such as Glue, Databricks, Synapse, or Dataproc.
• Experience with relational and NoSQL databases, including PostgreSQL, DB2, and MongoDB.
• Strong problem-solving, analytical, and critical-thinking skills.
• Ability to manage multiple projects with attention to detail.
• Ability to translate business needs into technical requirements.

Nice to have

• Experience as a Data Engineer or in cloud modernization.
• Data modelling experience.
• Professional or cloud platform certification.
• Familiarity with GitHub and Visual Studio.
• Degree in Computer Science, Software Engineering, Information Technology, or another scientific discipline.

Details

• Location: Bangalore, Karnataka, India.
• Hybrid-friendly culture.