Principal Data Architect

Micron Technology, Inc.; Hyderabad; Sur place; INR 3 600 000 - 6 000 000; Plein temps

Résumé du poste

Micron Technology, Inc. is seeking a senior Data Architect to define end-to-end data architecture for AI-driven triage and RCA systems. You will design scalable data lakes, metadata, and semantic layers spanning multiple engineering domains.

You will architect large-scale knowledge graphs, graph databases, and vector stores, enabling advanced AI workflows and retrieval strategies. This role also leads data integration, governance, and security standards across platforms.

Qualifications

• Bachelor's or Master's degree in Computer Science or related field or equivalent experience.
• 10+ years of proven experience in Data Architecture, Data Engineering, or Analytics platforms.
• Deep expertise in Data Lakes/Warehouses, Knowledge Graphs, Vector Databases, Graph Databases, ETL/ELT, and metadata management.
• Experience with cloud platforms (Azure, AWS, GCP) and enterprise data governance.

Responsabilités

• Define end-to-end data architecture for AI-driven triage and RCA systems.
• Architect scalable data lake, metadata, and semantic layers across domains.
• Build enterprise data models and unified data foundation across engineering to reliability.
• Develop large-scale knowledge graphs and semantic search strategies.
• Create data pipelines from engineering systems, telemetry, defects, Jira/Confluence.
• Define observability, security, and governance standards for agentic AI systems.

Connaissances

Data Architecture

Data Engineering

Analytics platforms

Knowledge Graphs

Cloud Platforms

Data Modeling

Governance & Security

Vector Databases

ETL/ELT Pipelines

Graph Databases

Formation

Bachelor's or Master's in CS/Data Eng/IS

Outils

Neo4j

ArcadeDB

TigerGraph

Jira

Confluence

Azure

GCP

AWS

Description du poste

Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

Key Responsibilities

• Data Architecture & Strategy Define the end-to-end data architecture for AI-driven Triage and RCA systems. Design scalable data lake, metadata, and semantic layer architectures. Establish enterprise data models spanning engineering, validation, manufacturing, reliability, and design domains. Develop a unified data foundation and common schema across diverse data sources.
• Knowledge Graph & AI Enablement Architect large-scale knowledge graphs representing engineering expertise, failure mechanisms, product relationships, and historical RCA data. Define graph schemas, ontologies, entity relationships, and semantic search strategies. Enable advanced AI workflows demonstrating GraphRAG, vector databases, and hybrid retrieval systems. Create data frameworks that support autonomous and agentic RCA workflows.
• Data Integration & Governance Build data ingestion pipelines from engineering systems, telemetry platforms, defect databases, Jira, Confluence, test infrastructures, and manufacturing systems. Establish data quality, lineage, governance, and security standards. Define data access patterns and APIs for agentic AI systems.
• Platform Scalability Design data architecture supporting millions of records and low-latency AI inference. Partner with cloud and infrastructure teams to optimize performance and reliability. Define observability and telemetry frameworks for AI feedback systems.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent experience.
• 10+ years of proven experience in Data Architecture, Data Engineering, or Analytics platforms.
• Deep expertise in: Data Lakes and Data Warehouses Knowledge Graphs (Neo4j, ArcadeDB, TigerGraph, etc.) Vector Databases Graph Databases ETL/ELT Pipelines Data Modeling and Metadata Management Cloud Platforms (Azure, GCP, AWS)
• Experience building enterprise-scale AI/ML data platforms.
• Strong understanding of data governance, security, and compliance.

Preferred Qualifications

• Semiconductor, manufacturing, reliability, or engineering analytics experience.
• Experience with RAG, GraphRAG, Agentic AI, and LLM applications.
• Familiarity with engineering systems such as Jira, Confluence, test infrastructures, and telemetry platforms.
• Experience developing data products for decision systems powered by advanced technology.

About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities - from the data center to the intelligent edge and across the client and mobile user experience.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.