Lead Integration Architect

Agilent Technologies; Barcelona; Presencial; EUR 90.000 - 150.000; Jornada completa

Descripción de la vacante

Agilent Technologies in Barcelona, Spain, seeks an experienced Integration Architect to design and own integration architecture across software, instruments, applications, and enterprise systems. You will define APIs, event-driven patterns, and schema governance while guiding containerized solutions with Kubernetes for platform-scale reliability.

The role demands deep hands-on experience in integrations for connected devices, edge computing, and real-time data exchange, with a track record of

Formación

• 10+ years of software engineering or architecture experience, with 5+ years in hands-on integration architecture roles.
• Deep practical expertise across REST/GraphQL API design, event-driven architecture, and schema governance.
• Strong hands-on experience with Kubernetes, deploying, operating, and architecting containerised workloads at platform scale.
• Experience with Docker and cloud-native deployment patterns across edge and cloud environments.
• Experience architecting integrations for connected devices, IoT platforms, or hardware-centric ecosystems.
• Understanding of device connectivity, telemetry, edge computing, and real-time data integration patterns.
• Proven track record delivering integration solutions and owning design and quality through implementation.
• Experience setting and enforcing API versioning, schema management, and contract-based integration standards.
• Ability to make and defend binding architecture decisions across teams with competing priorities.

Responsabilidades

• Design and own integration architecture solutions across software platform, instruments, applications, and enterprise systems
• Define integration standards and reference architectures: API design, event-driven patterns, schema governance, and versioning, and validate their implementation in practice
• Architect and hands-on guide containerized integration solutions using Kubernetes, ensuring platform-grade reliability, scalability, and operability
• Review and approve critical integration designs across product teams, making binding architecture decisions where standards are at stake
• Build and maintain a library of reusable integration patterns and reference implementations, working code and blueprints, not just documentation
• Provide architecture leadership for integrations involving connected instruments, laboratory systems, IoT devices, and edge computing environments, ensuring secure, reliable, and scalable data exchange between physical products and software platforms.
• Partner across divisions as the go-to integration authority, solving complex cross‑system and cross‑organizational architecture problems directly
• Define integration contracts between platform services, instruments, and enterprise systems, owning technical quality of those interfaces
• Identify and actively remediate integration patterns that introduce technical debt, bypass governance, or create cross‑team coupling risks

Conocimientos

Integration architecture

API design

Event-driven architecture

Schema governance

Cross-team collaboration

Architecture decision making

Herramientas

Kubernetes

Docker

Cloud-native deployment

GitOps

Service mesh

API gateway

Descripción del empleo

Responsibilities

• Design and own integration architecture solutions across the software platform, instruments, applications, and enterprise systems
• Define integration standards and reference architectures: API design, event-driven patterns, schema governance, and versioning, and validate their implementation in practice
• Architect and hands-on guide containerized integration solutions using Kubernetes, ensuring platform-grade reliability, scalability, and operability
• Review and approve critical integration designs across product teams, making binding architecture decisions where standards are at stake
• Build and maintain a library of reusable integration patterns and reference implementations, working code and blueprints, not just documentation
• Provide architecture leadership for integrations involving connected instruments, laboratory systems, IoT devices, and edge computing environments, ensuring secure, reliable, and scalable data exchange between physical products and software platforms.
• Partner across divisions as the go-to integration authority, solving complex cross‑system and cross‑organizational architecture problems directly
• Define integration contracts between platform services, instruments, and enterprise systems, owning technical quality of those interfaces
• Identify and actively remediate integration patterns that introduce technical debt, bypass governance, or create cross‑team coupling risks

Qualifications (Required)

• 10+ years of software engineering or architecture experience, with 5+ years in hands‑on integration architecture roles
• Deep practical expertise across the full integration stack: REST/GraphQL API design, event-driven architecture (Kafka, MQTT, or equivalent), asynchronous messaging, and schema governance
• Strong hands‑on experience with Kubernetes, deploying, operating, and architecting containerised workloads at platform scale
• Experience with Docker and cloud‑native deployment patterns across edge and cloud environments
• Demonstrated experience architecting integrations for connected devices, instruments, industrial equipment, IoT platforms, or similar hardware‑centric ecosystems
• Strong understanding of device connectivity, telemetry, edge computing, machine‑to‑cloud communication, and real‑time data integration patterns
• Demonstrated track record of delivering integration solutions, not just defining patterns but owning their design and technical quality through implementation
• Experience setting and enforcing API versioning, schema management, and contract‑based integration standards
• Ability to make and defend binding architecture decisions across teams with competing priorities

Preferred

• Experience in scientific instrumentation, laboratory software, or regulated industries (life sciences, diagnostics)
• Familiarity with service mesh, API gateway, and platform‑level integration infrastructure
• Experience integrating AI/ML inference services and data pipelines through governed integration patterns
• Background working across organisational boundaries, integrating systems owned by separate divisions or external partners
• Exposure to GitOps, infrastructure‑as‑code, and DevSecOps practices in a platform engineering context

Additional Details

This job has a full time weekly schedule. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locations

Equal Employment Opportunity

Agilent Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.

Travel & Scheduling

Travel Required: 25% of the Time Shift: Day Duration: No End Date Job Function: R&D Graduate and Student Career Site Visit our career site and learn more about Agilent Watch our video playlist to get a glimpse of life at Agilent!

About Agilent

As a global leader in laboratory and clinical technologies, we are passionate about bringing great science to life. Our commitment to quality and innovation supports cutting‑edge life science research, patient diagnostics, and ensures the safety of water, food, and pharmaceuticals. As scientists and clinicians pursue small, everyday advances and life‑changing discoveries, we provide trusted answers to their most critical questions and challenges. Leveraging more than 50 years of expertise, we create advanced instruments, software, and consumables supported by teams of highly skilled and knowledgeable people. With 18,000 employees around the world, our global reach and comprehensive solutions provide the most reliable and accurate results, as well as optimal scientific, economic, and operational outcomes. We work collaboratively with our customers on their journey to make a real difference in human lives. Our culture is founded on trust, respect, and uncompromising integrity, and we pride ourselves on being a dynamic and inclusive workplace that celebrates diversity and fosters innovation. We can’t wait for you to join us as we continue our mission to improve the world around us.

Additional Information

Information about Agilent is available at Agilent.com.