Applied Materials Senior Data Architect 

United States, Texas, Austin 

361692671

What We Offer

$148,000.00 - $203,500.00Austin,TX, Santa Clara,CA

Job Summary

Key Responsibilities

• Design and maintain a robust, secure, and scalable data architecture aligned with enterprise and digital transformation strategies.

• Define conceptual, logical and physical data models for structured and unstructured data from enterprise systems to support research, metrology, labs, ERP, MES, finance, corporate, PLM, and IoT systems.

• Architect, and identify data and process standardization opportunities with data across labs, research, design tools, manufacturing facilities, supply chain systems, finance systems, manufacturing systems, ERP, PLM, home grown applications and external partners.

• Enable data governance practices for critical business data to ensure metadata management, master data consistency, lineage tracking, and compliance with SEMI and industry regulations.

• Partner with application and enterprise architecture teams with the adoption of modern cloud-based data platforms (e.g., Databricks, Azure) and big data technologies to support analytics, AI/ML use cases.

• Collaborate with data engineers, business analysts, data scientists, enterprise architects, domain SMEs, and operational teams to understand requirements and translate them into data architecture strategies.

• Establish data architecture frameworks, standards, and policies tailored to the semiconductor domain’s complexities and scale.

Qualifications

Education:

• Bachelor’s or Master’s degree in computer science, Information systems, or a related field.

Experience:

• 8–12 years of experience in enterprise data architecture, preferably within semiconductor, electronics, or manufacturing domains.

• Preferred experience with Semi industry-specific systems

• Knowledge of semiconductor processes, manufacturing, supply chain, and data-intensive engineering environments.

Technical Skills:

• Must have string expertise in data architecture and modeling (relational, NoSQL)

• Must be proficient in big data and modern data platforms: Databricks, Hadoop

• Understanding with ETL/ELT tools like Informatica or DataStage

• Experience with enterprise reporting tools, Tableau, PowerBI.

• Familiarity with SAP systems and integration strategies.

• Hands-on experience with data governance tools and frameworks. Ex: Informatica, Collibra, Alation

• Familiarity with cloud services (Azure, AWS, or GCP).

• Understanding of AI/ML data workflows

Soft Skills:

• Strong communication and stakeholder management across technical, business and project management teams

• Strategic thinker with hands-on technical execution ability.

• Strong analytical and problem-solving skills.

Preferred Qualifications

• TOGAF, DAMA, or other architecture/data management certifications.

• Certification in data governance, Informatica, Cloud, AI/ML or SAP data tools preferred.

Full time

Assignee / Regular