Senior Data Engineering and Enterprise Integration Lead
Listed on 2026-01-10
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Software Development
Data Engineer
Senior Data Engineering and Enterprise Integration Lead
3 days ago Be among the first 25 applicants
Job DetailsWe develop some of the world's most advanced semiconductor packaging technologies as part of Intel's Foundry Technology Manufacturing (FTM) organization.
Here, in the Advanced Packaging and Technology Manufacturing (APTM) group, you will be part of a team responsible for developing AI-driven solutions that will revolutionize every aspect of advanced packaging development, from design concept to high-volume manufacturing.
You will create the plumbing and connections that make a state-of-the-art Agentic framework run effortlessly.
Key Responsibilities- Deliver the plumbing that connects agents to enterprise data, legacy systems, and simulation tools
- Enable trustworthy, consistent inputs for agentic workflows
- Design and maintain data pipelines for connecting distributed data to a centralized semantic/knowledge layer that ensures clean, unified data for agent consumption
- Work with other development teams to integrate and leverage existing solutions
- Build and maintain a data catalog and onboarding guides for teams adopting the platform
- Partner with IT/enterprise architects to enforce data governance, security, and compliance
- Ability to package data engineering practices into developer-friendly tooling and documentation
- The ability to collaborate effortlessly with a diverse set of internal partner groups
- Master's Degree in Computer Science, Computer Engineering, Software Development, Software Engineering, or related discipline and 4+ years of relevant experience
- OR PhD Degree in Computer Science, Computer Engineering, Software Development, Software Engineering, or related discipline and 2+ years of relevant experience
- Strong knowledge of LLMs and their applications
- Expertise in event streaming, API management, systems integrations and data lakes
- Deep experience with enterprise integration patterns and tools (e.g., RBAC, ABAC)
- Experience working in environments with strong compliance requirements (e.g., IP protection, export controls, or similar regulatory frameworks)
- Hands‑on experience building retrieval‑augmented generation (RAG) and knowledge‑graph‑backed systems for LLM applications in production
- 7+ years of enterprise data engineering, integration, or middleware systems
- 4+ years of experience building data solutions for AI infrastructure
- Experience with observability and reliability for data/agent pipelines (metrics, logging, tracing, data quality monitoring)
- A working understanding of the core components to an agent orchestration platform
- Strong background with manufacturing or design enterprise systems
Experienced Hire
ShiftShift 1 (United States of America)
LocationsPrimary: US, Arizona, Phoenix. Additional: US, Oregon, Hillsboro.
Business GroupIntel Foundry strives to make every facet of semiconductor manufacturing state-of-the‑art while delighting our customers – from delivering cutting‑edge silicon process and packaging technology leadership for the AI era, enabling our customers to design leadership products, global manufacturing scale and supply chain, through the continuous yield improvements to advanced packaging all the way to final test and assembly.
Posting StatementAll qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
BenefitsWe offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $ - USD
Work Model for this RoleThis role will require an on‑site presence.
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