СШАPrincipal Engineer, Data, BIA & AI
1 мес. назад
СШАLead
data architectureartificial intelligenceautomationanalytics
Lead data architecture to support business value, scalability, analytics, automation, and AI across product and manufacturing operations.
Требования
- 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.
- 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.
Другое
- 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.
- 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.
- 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.
- 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 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.
- 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.
- 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.
- To learn more about ASM, find us at .com and on LinkedIn , Facebook , Instagram, X and YouTube .