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Jobs / Netlight

Data Platform & Data Architecture Consultant

Netlight·Berlinmid

In short

  • →Diseñar y construir plataformas de datos en la nube para clientes.
  • →Trabajar en arquitectura, gobernanza, seguridad y escalabilidad de datos con enfoque en negocio.
  • →Enfocado en plataformas escalables con IaC, datos seguros y múltiples equipos usando la misma infraestructura.

Verbal and written fluency in English

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The questions they'll ask you

1. ¿Cómo diseñarías una plataforma de datos multi-tenant en AWS con control de acceso basado en roles?

2. ¿Qué consideraciones clave incluirías al definir un contrato de datos para un producto de datos en un entorno de data mesh?

3. ¿Cómo usarías Terraform para gestionar la infraestructura de un data lakehouse en GCP con políticas de gobernanza integradas?

🔒 +7 more questions

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💵 USD · Remote · No visa

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What they ask for

  • ✓Master en Ingeniería o Tecnología
  • ✓2-4 años en infraestructura de datos en la nube
  • ✓Experiencia con AWS/Azure/GCP
  • ✓Habilidades en Terraform, Pulumi o CloudFormation
  • ✓Experiencia con plataformas como Snowflake, BigQuery o Databricks
  • ✓Capacidad para colaborar con stakeholders técnicos y de negocio

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

AWSAzureGCPTerraformPulumiCloudFormationSnowflakeBigQueryDatabricksRedshift

Who should you write to at Netlight?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

About the role As a Data Platform & Data Architecture Consultant , you are the person clients trust to turn their data infrastructure from a bottleneck into a competitive advantage. You design data landscapes, stand up and scale cloud data platforms, and set the guardrails that let entire organisations build on data safely and efficiently. Our consultants bring varied paths and perspectives to this work. What unites them is structural thinking, a drive to understand the business context behind every technical decision, and the ability to operate across both the blueprint and the build. Across engagements, you may operate as a data architect, lead a platform build, or contribute at the strategic advisory level, often blending several of these roles within a single engagement. What the work looks like Building and operating platforms. You design, provision, and harden cloud data platforms end to end, covering storage and compute, networking, security and IAM, observability, and cost. You codify infrastructure using tools like Terraform, Pulumi, or CloudFormation and establish governance frameworks such as data catalogs, data contracts, RBAC models, and SLAs that let organisations scale data access without losing control. You build platforms that multiple teams and business domains can rely on, not just at launch, but as they grow. Shaping the data architecture. You design logical and physical data models, map data flows and lineage across systems, and make the structural decisions that determine how data is organised, integrated, and consumed. This can mean designing a target-state architecture for a client migrating from legacy systems to a modern cloud lakehouse, or defining domain boundaries and data product interfaces in a data mesh adoption. Advising and translating. You sit at the intersection of technology and business. You work with data engineers, data scientists, product owners, and senior client stakeholders to understand what they need, then turn that into platform strategy and architecture decisions. You are the person a CTO trusts to make the right call on how their data infrastructure should evolve. , Computer Science, Data Engineering, Information Systems, or similar) Verbal and written fluency in English 2–4 years of full-time work experience in cloud data infrastructure, data platform engineering, or data architecture. Qualifications Experience with data mesh, data product, or data lakehouse architectures at an organisational level Depth in enterprise data architecture, including conceptual, logical, and physical modeling, data lineage, and approaches such as dimensional modeling or Data Vault Hands-on experience with multi-tenant platform design or multi-cloud environments Familiarity with container orchestration (Kubernetes, Docker) in data platform contexts Equal opportunity statement Netlight strives to be a truly diverse, equitable and inclusive organization.

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