Lead Integration Architect

Agilent Technologies; Barcelona; Presencial; EUR 110.000 - 140.000; Jornada completa

Descripción de la vacante

Agilent Technologies in Barcelona, Spain seeks a Lead Integration Architect to define and operationalize integration standards and reference patterns across its software platform and partner divisions.

You will lead API design, event-driven patterns, schema governance, and versioning while hands-on guiding containerized integration using Kubernetes and Docker.

Formación

• 10+ years of software engineering or architecture experience with 5+ years in integration architecture.
• Hands-on expertise in REST/GraphQL, event-driven patterns, and schema governance.
• Proven ability to lead design reviews and enforce architecture standards.

Responsabilidades

• Design and own integration architecture across the software platform and enterprise systems.
• Define standards for API design, events, schema governance, and versioning.
• Architect and guide containerized integration solutions using Kubernetes.
• Review critical designs and drive consistent, scalable integration practices.
• Build a library of reusable patterns and reference implementations.
• Collaborate across divisions to resolve cross-system integration challenges.
• Define contracts between services and ensure interface quality.
• Identify and remediate patterns causing technical debt or governance gaps.

Conocimientos

REST API design

GraphQL

Event-driven architecture

Kafka

MQTT

Kubernetes

Docker

API versioning

Schema governance

Contract-based integration

Cross-team collaboration

Herramientas

Kubernetes

Docker

Cloud deployment

Descripción del empleo

Job Description

Agilent Technologies is connecting a diverse portfolio of instruments, applications, and platform services into a unified software ecosystem. The Lead Integration Architect is a senior individual contributor role responsible for defining and operationalizing the integration architecture standards and reference patterns that enable interoperability across Agilent's software platform and partner divisions.

This role owns integration architecture at the standards and governance level, establishing API design patterns, event-driven architecture standards, schema governance, and versioning frameworks that product teams adopt across the portfolio. You are a hands on technical leader who bridges strategy and execution: defining the patterns, reviewing critical designs, and actively influencing teams to adopt consistent, scalable integration approaches.

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
• 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 containerized workloads at platform scale
• Experience with Docker and cloud‑native deployment patterns across edge and cloud environments
• 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 organizational 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 Opportunity Employer

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 Required

25% of the Time

Shift

Day

Duration

No End Date

Job Function

R&D