- Location
- Hyderabad, TS,IN, IN
- Workplace
- Hybrid
- Type
- Full-time
- Department
- Engineering
- Seniority
- Lead
- Education
- Master
- Source
- Eightfold
Description
Req. ID:
JR111254 Principal Data Architect (Evergreen)
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.
Job Profile(s):
Product Development Engineer 5
Relocation level: (TBD)
Before Getting Started
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- If you are selected to interview for a position, you must notify your direct supervisor before participating in the interview process.
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on Benefits | Micron Technology, Inc
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.