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Micron

Principal Data Architect

Hyderabad - Phoenix Aquila, India

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What you’ll work on

Full posting

  • Define the end-to-end data architecture for AI-driven Triage and RCA systems.

  • Design scalable data lake, metadata, and semantic layer architectures.

  • Develop a unified data foundation and common schema across diverse data sources.

From the employer’s posting
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.
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.
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

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Tools in this posting

  • azure
  • neo4j
Source — Tool mentions in context
- Deep expertise in:- Data Lakes and Data Warehouses - Knowledge Graphs (Neo4j, ArcadeDB, TigerGraph, etc.) - Vector Databases
- Data Modeling and Metadata Management - Cloud Platforms (Azure, GCP, AWS) - Experience building enterprise-scale AI/ML data platforms.

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Location & working pattern

Hyderabad - Phoenix Aquila, India

- 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.
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Open source at micron.wd1.myworkdayjobs.com ↗Read the full description ↓
Posting history
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Active
First seen by us
Sep 7, 2026
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Last seen by us
Sep 8, 2026

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Job description

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.

To learn more, please visit micron.com/careers

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.

To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_india@micron.com

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.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.   

Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.