Senior Data Architect
Senior Data Architect
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Job Description
Who We Are
Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips the brains of devices we use every day. As the foundation of the global electronics industry Applied enables the exciting technologies that literally connect our world like AI and IoT. If you want to work beyond the cutting-edge continuously pushing the boundaries ofscience and engineering to make possiblethe next generations of technology join us to Make Possible a Better Future.
What We Offer
Salary:
$148000.00 - $203500.00Location:
AustinTX Santa ClaraCAAt Applied we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness health and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. Were committed to providing programs and support that encourage personal and professional growth and care for you at work at home or wherever you may go. Learn more about our benefits.
Youll also benefit from a supportive work culture that encourages you to learn develop and grow your career as you take on challenges and drive innovative solutions for our empower our team to push the boundaries of what is possiblewhile learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied.
Job Summary
Consistently ranked among Computerworlds 100 Best Places to Work in IT Applied Materials Global Information Services (GIS) organization offers an exciting place for its employees to succeed. We are seeking a strategic and technically skilled Senior Data Architect to lead the design and implementation of scalable high-performance data architectures supporting critical operations and strategic data initiatives across Applied Materials data ecosystems from R&D to supply chain customer delivery and services. This role will work cross-functionally to advance data management practices ensure data quality and governance and enable analytics and AI/ML capabilities across the enterprise.
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 domains complexities and scale.
Qualifications
Education:
Bachelors or Masters degree in computer science Information systems or a related field.
Experience:
812 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.
Additional Information
Time Type:
Full timeEmployee Type:
Assignee / RegularTravel:
Relocation Eligible:
NoThe salary offered to a selected candidate will be based on multiple factors including location hire grade job-related knowledge skills experience and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program as applicable.
For all sales roles the posted salary range is the Target Total Cash (TTC) range for the role which is the sum of base salary and target bonus amount at 100% goal achievement.
Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race color national origin citizenship ancestry religion creed sex sexual orientation gender identity age disability veteran or military status or any other basis prohibited by law.
Required Experience:
Senior IC
Employment Type
Full-Time
