Job Description:
Intel's Technology Development - Analytics and Technology Automation (TD ATA) organization
is seeking a talented Data Architect with deep expertise in architecting, designing, and developing end to end systems that ingest and route data from semiconductor factories and production equipment into factory automation and enterprise resource planning (ERP) systems and data stores.
As an architect and senior technical leader in the Factory Data Systems (FDS) organization, you will work closely with factory customers and enterprise planning teams to understand their data and analytical needs and partner with multiple TD ATA teams to provide innovative solutions that transform Intel's business. You will be expected to lead and drive projects through the entire software development life cycle from requirements to implementation.
The ideal candidate should exhibit the following behavioral traits and/or skills:
- Outstanding written and oral communication skills.
- Analytical problem solving and troubleshooting skills.
- Teamwork and collaboration skills.
- Tolerance of ambiguity and self-motivation.
- Works closely with stakeholders to gain consensus.
- Ability to lead teams of developers through the software development life cycle.
- Ability to influence senior management and other senior technical leaders.
- Technical proficiency.
Qualifications:
Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications:
Candidate must possess BS degree with 9+ years of experience or MS degree with 6+ years of experience or PhD degree with 4+ years of experience in Computer Science, Computer Engineering, or related fields.
9+ years of experience in the following:
- Building data pipelines and data integration solutions.
- Proficiency in database platforms (Oracle, MS SQL, PostgreSQL, etc.) and data pipeline technologies.
- Experienced in implementing and/or building data integration with SAP S/4HANA ERP systems.
- Demonstrated track record of designing, developing, and deploying successful data integration solutions for complex manufacturing processes.
- Experience leading projects and a team of developers through the complete software development lifecycle.
- Analyzing new, evolving business requirements, and mapping them to technical requirements.
- Experience organizing and cataloging data to enable consumers to easily find and consume the needed.
Preferred Qualifications:
9+ years of experience in the following:
- Familiarity with real-time Data Streaming technologies like Kafka, IBM Streams, etc.
- Data analytics and data visualization.
Job Type:
Experienced Hire
Shift:
Shift 1 (United States of America)
Primary Location:
US, Arizona, Phoenix
Additional Locations:
Business group:
As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology Development and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth.
Posting Statement:
All 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.
Position of Trust
N/A
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.