AI Data Engineer Jobs in Arizona
AI Data Engineer jobs in Arizona are in strong demand, with active hiring concentrated in cloud infrastructure, financial technology, semiconductor manufacturing, and healthcare analytics, covering roles from entry-level data pipeline engineers through senior ML platform architects. Phoenix and Scottsdale anchor most of the hiring volume, with Tempe emerging as a secondary hub driven by its university research corridor and technology campus ecosystem. Established employers including Intel, Banner Health, and American Express maintain large Arizona engineering teams that hire ai data engineers with regularity. Find a role that fits below and apply directly.
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Step into a career with ASM, where cutting edge technology meets collaborative culture.
For over 55 years ASM has been ahead of what’s next, at the forefront of innovation and what’s technologically possible. With more than 4,500 ASMers representing 70 nationalities, our people and our advanced semiconductor devices are playing a crucial role in trends such as 5G, cloud computing, AI, and autonomous driving. But we’re more than just a tech company. We value diversity, inclusion and sustainability as we strive to make a positive impact on the world. Our development programs help support your growth, shaping your future and pushing the boundaries of innovation to unleash potential.
Data Architect
Job's mission
In support of ASM’s growth ambition and digital transformation strategy, there is a need to further improve and leverage data as a foundation for business value, operational scalability, analytics, process intelligence, automation and Artificial Intelligence. Across new product introductions, to manufacturing, to services and spares, the Data Architect links business operations, data platforms and technologies through a clear data architecture.
The Data Architect will be part of ASM’s Global Digital Transformation organization, within the Data & AI Intelligence capability. The architect will translate business priorities into scalable data architecture, and practical data solutions required to support ASM’s next phase of growth. In short, the architect will own the enterprise data architecture.
The Data Architect has a healthy degree of business acumen and is driven to understand how ASM operates. ASM is growing fast, and we are searching for a Data Architect who can help us to scale up and enable business outcomes.
What you will be working on
Own ASM’s Data Architecture
- Define and govern ASM's Enterprise Data Architecture Framework, including reference architecture, standards, guardrails and reusable playbooks.
- Define how key platforms such as Databricks, SAP, Teamcenter, Salesforce and Celonis fit together in ASM’s target data architecture.
- Drive architectural consistency, reuse and simplification across all data platforms and business domains.
- Identify and reduce data architecture debt, duplicate capabilities, inconsistent data models and unnecessary platform fragmentation.
- Lead architecture reviews, and peer reviews to ensure solution designs follow enterprise data architecture standards and deliver measurable business impact.
Design Trusted and AI-Ready Data Foundations
- Define architectural patterns for data products, integration, interoperability and data sharing across domains.
- Design trusted data foundations supporting analytics, business intelligence, machine learning, GenAI, Agentic AI, process intelligence and automation use cases.
- Design scalable, secure, reusable, and cost-effective data architectures across lakehouse, warehouse, data lake, streaming, near-real-time, event-driven, operational, and analytical platforms.
- Embed security and compliance by design (classification, retention, trade compliance, access etc.) in partnership with Cyber Security, AI Governance, Enterprise Architecture and Legal.
- Ensure architecture-by-design for data quality, consistency, accuracy, completeness, lineage, integrity, observability, auditability, and explainability across all layers.
Partner, Influence and Innovate
- Partner with manufacturing, supply chain, engineering, quality, services, and other teams to translate priorities into scalable solutions.
- Work with Digital Transformation Business Partners to translate business outcomes, process needs, analytical needs, and value opportunities into scalable and reusable data architecture solutions.
- Ensure architecture decisions are practical to adopt by the various teams, including documentation, and reusable templates.
Be a Subject Matter Expert
- Support the establishing of the vision for managing data as a business asset, and to maximize the return on data assets.
- Evaluate emerging technologies and industry trends to continuously evolve ASM's data and AI capabilities.
- Support the fostering of the creation of a data-driven culture, related competencies and data literacy across ASM.
What we are looking for
Education
A degree in data science, information technology, computer science, mathematics, engineering, business administration, or a related field. Relevant professional training or certifications are desired but not required.
Relevant certifications in Databricks, data architecture, enterprise architecture, data management, AI/ML platforms, data governance, or Agile are preferred, but not required.
Experience and skills
Must have (required)
- 7+ years of data architecture and solutioning experience.
- Strong hands-on experience in multiple competency areas related to data and analytics, such as data products, lakehouse architecture, data engineering, business intelligence, semantic models, data governance, and data quality.
- Strong understanding of data engineering concepts and technologies, including SQL, Python, Spark-based processing, orchestration and metadata-driven engineering
- Strong understanding of data governance, metadata management, cataloging, lineage, data contracts, data quality, classification, access control, retention, auditability, and responsible AI principles.
- Ability to work with complex and diverse data sources, including structured, semi-structured, unstructured, streaming, sensor, equipment, and operational data.
- Experience in Databricks and cloud platforms (e.g. AWS/Azure/Google Cloud).
- A drive to understand our business operations and commercial products.
- Action-oriented mindset, with the ability to move quickly while maintaining architecture discipline and governance.
- Able to collaborate and coordinate with multiple teams, stakeholders and external partners.
- Excellent stakeholder engagement and communication skills, with the ability to explain complex technical topics to business leaders, product teams, engineers, and others.
- Good coaching and influencing skills, with the ability to guide architecture decisions, mentor technical teams, facilitate design discussions, and build data architecture maturity across ASM.
- Outcome-driven mindset with focus on business value, adoption, reuse, scalability, speed, cost efficiency, and measurable impact.
Desired (not required)
- Experience in Teamcenter, Salesforce, SAP systems (e.g. SAP S4 HANA), Celonis, Incorta, or Microsoft PowerBI
- Experience working in a semiconductor or high-tech manufacturing environment.
We make the tech that enables the chips in devices which improve lives around the world. We do this with an eye to the future, pushing the boundaries of what’s possible through cutting-edge innovation, and driving the next wave of technological breakthroughs that shape how we live, work, and connect.
Apply today to be part of what’s next.
We make the tech that enables the chips in devices which improve lives around the world. We do this with an eye to the future, pushing the boundaries of what’s possible through cutting-edge innovation, and driving the next wave of technological breakthroughs that shape how we live, work, and connect.
To learn more about ASM, find us at asm.com and on LinkedIn, Facebook, Instagram, X and YouTube.
ASM is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, age, nationality, social or ethnic origin, sexual orientation, gender, gender identify or expression, marital status, pregnancy, political affiliation, disability, genetic information, veteran status, or any other characteristic protected by law.
Step into a career with ASM, where cutting edge technology meets collaborative culture.
For over 55 years ASM has been ahead of what’s next, at the forefront of innovation and what’s technologically possible. With more than 4,500 ASMers representing 70 nationalities, our people and our advanced semiconductor devices are playing a crucial role in trends such as 5G, cloud computing, AI, and autonomous driving. But we’re more than just a tech company. We value diversity, inclusion and sustainability as we strive to make a positive impact on the world. Our development programs help support your growth, shaping your future and pushing the boundaries of innovation to unleash potential.
Data Architect
Job's mission
In support of ASM’s growth ambition and digital transformation strategy, there is a need to further improve and leverage data as a foundation for business value, operational scalability, analytics, process intelligence, automation and Artificial Intelligence. Across new product introductions, to manufacturing, to services and spares, the Data Architect links business operations, data platforms and technologies through a clear data architecture.
The Data Architect will be part of ASM’s Global Digital Transformation organization, within the Data & AI Intelligence capability. The architect will translate business priorities into scalable data architecture, and practical data solutions required to support ASM’s next phase of growth. In short, the architect will own the enterprise data architecture.
The Data Architect has a healthy degree of business acumen and is driven to understand how ASM operates. ASM is growing fast, and we are searching for a Data Architect who can help us to scale up and enable business outcomes.
What you will be working on
Own ASM’s Data Architecture
- Define and govern ASM's Enterprise Data Architecture Framework, including reference architecture, standards, guardrails and reusable playbooks.
- Define how key platforms such as Databricks, SAP, Teamcenter, Salesforce and Celonis fit together in ASM’s target data architecture.
- Drive architectural consistency, reuse and simplification across all data platforms and business domains.
- Identify and reduce data architecture debt, duplicate capabilities, inconsistent data models and unnecessary platform fragmentation.
- Lead architecture reviews, and peer reviews to ensure solution designs follow enterprise data architecture standards and deliver measurable business impact.
Design Trusted and AI-Ready Data Foundations
- Define architectural patterns for data products, integration, interoperability and data sharing across domains.
- Design trusted data foundations supporting analytics, business intelligence, machine learning, GenAI, Agentic AI, process intelligence and automation use cases.
- Design scalable, secure, reusable, and cost-effective data architectures across lakehouse, warehouse, data lake, streaming, near-real-time, event-driven, operational, and analytical platforms.
- Embed security and compliance by design (classification, retention, trade compliance, access etc.) in partnership with Cyber Security, AI Governance, Enterprise Architecture and Legal.
- Ensure architecture-by-design for data quality, consistency, accuracy, completeness, lineage, integrity, observability, auditability, and explainability across all layers.
Partner, Influence and Innovate
- Partner with manufacturing, supply chain, engineering, quality, services, and other teams to translate priorities into scalable solutions.
- Work with Digital Transformation Business Partners to translate business outcomes, process needs, analytical needs, and value opportunities into scalable and reusable data architecture solutions.
- Ensure architecture decisions are practical to adopt by the various teams, including documentation, and reusable templates.
Be a Subject Matter Expert
- Support the establishing of the vision for managing data as a business asset, and to maximize the return on data assets.
- Evaluate emerging technologies and industry trends to continuously evolve ASM's data and AI capabilities.
- Support the fostering of the creation of a data-driven culture, related competencies and data literacy across ASM.
What we are looking for
Education
A degree in data science, information technology, computer science, mathematics, engineering, business administration, or a related field. Relevant professional training or certifications are desired but not required.
Relevant certifications in Databricks, data architecture, enterprise architecture, data management, AI/ML platforms, data governance, or Agile are preferred, but not required.
Experience and skills
Must have (required)
- 7+ years of data architecture and solutioning experience.
- Strong hands-on experience in multiple competency areas related to data and analytics, such as data products, lakehouse architecture, data engineering, business intelligence, semantic models, data governance, and data quality.
- Strong understanding of data engineering concepts and technologies, including SQL, Python, Spark-based processing, orchestration and metadata-driven engineering
- Strong understanding of data governance, metadata management, cataloging, lineage, data contracts, data quality, classification, access control, retention, auditability, and responsible AI principles.
- Ability to work with complex and diverse data sources, including structured, semi-structured, unstructured, streaming, sensor, equipment, and operational data.
- Experience in Databricks and cloud platforms (e.g. AWS/Azure/Google Cloud).
- A drive to understand our business operations and commercial products.
- Action-oriented mindset, with the ability to move quickly while maintaining architecture discipline and governance.
- Able to collaborate and coordinate with multiple teams, stakeholders and external partners.
- Excellent stakeholder engagement and communication skills, with the ability to explain complex technical topics to business leaders, product teams, engineers, and others.
- Good coaching and influencing skills, with the ability to guide architecture decisions, mentor technical teams, facilitate design discussions, and build data architecture maturity across ASM.
- Outcome-driven mindset with focus on business value, adoption, reuse, scalability, speed, cost efficiency, and measurable impact.
Desired (not required)
- Experience in Teamcenter, Salesforce, SAP systems (e.g. SAP S4 HANA), Celonis, Incorta, or Microsoft PowerBI
- Experience working in a semiconductor or high-tech manufacturing environment.
We make the tech that enables the chips in devices which improve lives around the world. We do this with an eye to the future, pushing the boundaries of what’s possible through cutting-edge innovation, and driving the next wave of technological breakthroughs that shape how we live, work, and connect.
Apply today to be part of what’s next.
We make the tech that enables the chips in devices which improve lives around the world. We do this with an eye to the future, pushing the boundaries of what’s possible through cutting-edge innovation, and driving the next wave of technological breakthroughs that shape how we live, work, and connect.
To learn more about ASM, find us at asm.com and on LinkedIn, Facebook, Instagram, X and YouTube.
ASM is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, age, nationality, social or ethnic origin, sexual orientation, gender, gender identify or expression, marital status, pregnancy, political affiliation, disability, genetic information, veteran status, or any other characteristic protected by law.
See All 6 AI Data Engineer Jobs in Arizona
Find roles in Arizona that match your experience and apply in just a few clicks.
Find AI Data Engineer JobsAI Data Engineer Jobs by City in Arizona
Where Arizona roles are concentrated, by current openings.
AI Data Engineer Job Market in Arizona
A snapshot from current Arizona openings, updated as new roles post.
Who's Hiring
What Arizona Employers Look For
The qualifications that appear most often in AI data engineer jobs across Arizona.
- Bachelor's degree in computer science, data engineering, or a closely related technical field
- Proficiency building and maintaining data pipelines using tools such as Apache Spark or dbt
- Hands-on experience with cloud platforms including AWS, Azure, or Google Cloud
- Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience designing and optimizing SQL and NoSQL databases at production scale
- Strong programming skills in Python, with exposure to Scala or Java considered a plus
AI Data Engineer Jobs in Arizona: Frequently Asked Questions
How do you become a ai data engineer in Arizona?
There is no state-issued license required to work as an ai data engineer in Arizona, so the path runs through education and demonstrated technical skill. Most Arizona employers expect a bachelor's degree in computer science, data science, or software engineering, though candidates from mathematics or electrical engineering backgrounds are regularly hired. Building a portfolio of end-to-end data pipeline and ML model deployment projects, combined with cloud certifications from AWS or Microsoft Azure, gives Arizona applicants a strong competitive edge.
How much do AI data engineers make in Arizona?
AI data engineers in Arizona earn a median of about $107,240 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $65,200 for the lowest 10% to over $161,730 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai data engineers in Arizona?
Employers hiring ai data engineers in Arizona right now include ASM, Revstar, and RRA Capital, based on current listings on Migrate Mate as of September 2026. Arizona's mix of semiconductor firms, national financial services companies, and large healthcare systems means ai data engineer openings appear across multiple industries rather than clustering in a single sector.
Which Arizona cities have the most ai data engineer jobs?
Phoenix, Arizona, and Chandler lead Arizona for ai data engineer openings. Phoenix dominates by volume given its concentration of corporate headquarters, financial technology firms, and hospital systems, while Scottsdale and Tempe attract engineering hiring through technology campuses and proximity to Arizona State University's research partnerships, making the broader metropolitan area by far the densest market in the state.
Are there remote ai data engineer jobs in Arizona?
Yes, and more than most fields. About 100% of ai data engineer openings tied to Arizona are remote or hybrid as of September 2026, reflecting the desk-based and collaborative-tool-driven nature of the work. Data pipeline development, model monitoring, and MLOps engineering are the sub-areas most consistently offered on a fully remote basis, while roles requiring close coordination with on-site infrastructure or data center hardware tend to require in-office or hybrid schedules.
How can I get hired as a ai data engineer in Arizona with little or no experience?
The most realistic entry path is an associate data engineer or junior data analyst role, which large Arizona employers such as Intel, Honeywell, and Banner Health post specifically for recent graduates. Arizona State University and University of Arizona both have direct recruiting pipelines into local technology teams for graduating seniors. Building two or three public GitHub projects that demonstrate data pipeline construction, cloud deployment, and at least one machine learning workflow is the credential that moves a candidate without professional history past initial screening.
Where can I find and apply to ai data engineer jobs in Arizona?
You can find and apply to ai data engineer jobs in Arizona on Migrate Mate, which lists current Arizona openings from employers actively hiring in the state. Search the listings for roles that match your experience level and technical stack, then apply directly to the ones that fit.
See All 6 AI Data Engineer Jobs in Arizona
Find roles in Arizona that match your experience and apply in just a few clicks.
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