Data Platform & Data Architecture Consultant

Netlight · Berlinmid

En corto

▸Diseñador de plataformas de datos en la nube para clientes, con enfoque en arquitectura y escalabilidad.
▸Trabajas en equipo multidisciplinario, combinando diseño técnico, gobernanza y traducción de necesidades del negocio.
▸Destacado: actúas como punto de confianza para CTOs, con roles que van desde arquitecto hasta consejero estratégico.

Verbal and written fluency in English

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

¿Qué piden?

✓Maestría en Ingeniería o Tecnología (Ciencias de la Computación, Ingeniería de Datos, etc.)
✓Fluidez verbal y escrita en inglés
✓2–4 años de experiencia en infraestructura de datos en la nube
✓Experiencia práctica con una nube principal (AWS, Azure o GCP)
✓Experiencia con plataformas de datos modernas (Snowflake, BigQuery, Databricks, etc.)
✓Habilidades en IaC: Terraform, Pulumi o CloudFormation

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

AWSAzureGCPSnowflakeBigQueryDatabricksRedshiftMicrosoft FabricTerraformPulumi

¿A quién escribirle en Netlight?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

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.

No apliques sin prepararte

Investigamos quién te entrevista, adaptamos tu CV y te ensayamos en vivo — gratis la primera.