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Entegris

Supplies high-purity materials for semiconductors.

Lead Solution Architect - R&D Digital Platforms

Data ManagementConfirmed live in the last 24 hours
Full-timeBedford, MA, USA

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, or a related field is required; an advanced degree is preferred.
  • At least 8 years of experience in solution architecture and delivering cloud-based platforms and custom solutions.
  • Experience with digital research and development ecosystems and laboratory informatics, such as Laboratory Information Management Systems, Electronic Lab Notebooks, scientific data management systems, or instrumentation integration.
  • Strong depth across systems integration, cloud platforms, data and analytics architectures, and artificial intelligence and machine learning concepts.
  • Experience designing solutions supporting research and development, engineering, manufacturing, or other scientific or technical workflows.
  • Experience in agile delivery environments, including scaled agile models, across globally distributed teams and partners.
  • Ability to design cohesive end-to-end solutions spanning data ingestion, data products, integrations, user workflows, and user experiences.
  • Deep understanding of metadata strategy, lineage, and semantic modeling concepts, including taxonomies and ontologies, to enable enterprise reuse and artificial intelligence readiness.
  • Deep understanding of modern generative artificial intelligence and machine learning patterns, including retrieval-based approaches, agent-based orchestration, model evaluation and guardrail fundamentals, and machine learning operations concepts.
  • Ability to evaluate options and communicate architectural recommendations clearly.
  • Ability to incorporate security-by-design principles and partner effectively with cybersecurity and enterprise architecture stakeholders.
  • Ability to create clear artifacts, including diagrams, decision records, and non-functional requirements, and communicate effectively to technical and non-technical audiences.
  • Hands-on experience with cloud infrastructure and services, specifically Google Cloud Platform, including high-performance computing, artificial intelligence and machine learning, and full-stack application development.

Responsibilities

  • Define and evolve the Digital Innovation Platform solution architecture, including target-state blueprints and reusable patterns spanning experimentation workflows, data services, integrations, and experience-layer design for digital research and development capabilities.
  • Design integration and data architectures supporting experiment execution, data capture, contextualization, data lineage, and enterprise reuse, including laboratory systems integration, modern cloud data platforms, and semantic approaches.
  • Guide architecture for artificial-intelligence-enabled capabilities, including search, summarization, and workflow orchestration aligned with enterprise guardrails.
  • Evaluate and recommend build, buy, or integrate approaches, balancing speed, scalability, maintainability, and total cost of ownership.
  • Provide architectural guidance and governance across delivery teams and partners through design reviews, architecture decision records, and enforcement of standards and patterns.
  • Ensure alignment with cybersecurity, intellectual property protection, compliance, and enterprise architecture standards in partnership with security and enterprise architecture teams.
  • Define non-functional requirements and operational patterns for scalability, reliability, performance, and observability to support global adoption and sustained platform operations.
  • Enable secure delivery practices, including DevOps and DevSecOps, by advising on continuous integration and continuous delivery pipelines, infrastructure-as-code patterns, and runtime considerations such as containerization.
  • Coordinate cross-domain alignment by partnering with enterprise data teams so platform data and semantic models integrate with adjacent domains such as quality, supply chain, and manufacturing where required.
  • Promote architectural consistency and reuse by sharing best practices and driving adoption of common patterns across initiatives.

Desired Qualifications

  • Exposure to modeling and simulation, including high-performance computing integration patterns.
  • Familiarity with knowledge graph concepts and semantic search patterns.
  • Familiarity with continuous integration and continuous delivery pipelines, DevOps and DevSecOps practices, and containerization and orchestration concepts such as Docker and Kubernetes.
  • Experience operating in federated, global environments with diverse processes, systems, and data landscapes.

About the Company

Entegris

Supplies high-purity materials for semiconductors.

Entegris is a global supplier of high-purity materials and process solutions used in semiconductor, life sciences, and other technology-driven industries. It develops and supplies advanced materials, purification systems, and contamination-control technologies that are critical to manufacturing processes. Their products include materials and equipment to prevent microcontamination, such as gas purifiers and other purification solutions, which customers use to keep production lines clean and efficient. Entegris differentiates itself through a worldwide manufacturing and service footprint, enabling dependable supply chains, global customer support, and integrated solutions across multiple stages of the manufacturing process. The company’s goal is to help customers achieve consistent, high-quality production by delivering reliable, pure materials and contamination-control technologies at scale.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Billerica, MA
Founded
1966

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