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# Data Architect (Spanish-speaking)

- **Company:** N-iX
- **Location:** Spain
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Vault Modeling, Data Warehousing, Dimensional Modeling, Apache Hadoop, Identity and Access Management, Python (Programming Language), Microsoft SQL Server, Oracle (Applications), Cloud Services, Data Mesh, Azure Data Lake, Search Technologies, SQL Databases, Data Streaming, Teradata SQL, Azure Service Bus, Feature Store, Azure Data Factory, Retrieval-Augmented Generation, Snowflake, Apache Spark, Cloudformation, Event Driven Architecture, Infrastructure Automation Frameworks, Data Lineage, Bicep, AWS Data Analytics, Apache Kafka, Spark Streaming, Data Management, Machine Learning Operations, Terraform, Key Vault, Legacy Systems, Databricks
- **Published:** October 27, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e32fb8774a2695e0

## About the Role

* 8+ years in data engineering or data platforms, including 3+ years as a Data or Solution Architect.
 * Hands-on production experience with Snowflake and/or Databricks (at least one in depth).
 * Strong knowledge of Azure and/or AWS data services, for example:
*

 + Azure: ADLS Gen2, Data Factory, Synapse/Fabric, Event Hubs, Purview, Key Vault
 + AWS: S3, Glue, Redshift, Kinesis, Lambda, Lake Formation, IAM
 * Expert SQL and solid Python or Scala; experience with Spark.
 * Proven experience with data modelling (dimensional, data vault) and lakehouse design.
 * Experience with orchestration and transformation tools such as Airflow, dbt, Azure Data Factory or Databricks Workflows.
 * Working knowledge of infrastructure as code (Terraform, Bicep or CloudFormation) and CI/CD for data.
 * Track record of leading at least one cloud data platform build or migration from design to production.
 * Client-facing consulting experience: running workshops, presenting architecture decisions, managing expectations.
 * Fluent or native Spanish and at least B2 English, written and spoken.
 * Based in an EU or LATAM country with the right to work there., * Certifications: SnowPro Advanced Architect, Databricks Certified Data Engineer Professional, Azure Solutions Architect Expert, AWS Solutions Architect Professional or AWS Data Analytics/Data Engineer.
 * Streaming architectures (Kafka, Spark Structured Streaming, Snowpipe Streaming, Delta Live Tables).
 * Data mesh, data products and data contracts in practice.
 * MLOps and GenAI data foundations (feature stores, vector search, RAG pipelines).
 * Domain experience in banking, insurance, retail, telecom or energy.
 * Portuguese for Brazil-based clients.

## Description

We are looking for a Spanish-speaking Data Architect to lead the design of cloud data platforms for our clients. You will own the target architecture end-to-end, work directly with client stakeholders in Spanish, and guide engineering teams through delivery., * Design end-to-end data architectures on Snowflake and/or Databricks, deployed on Azure and/or AWS: ingestion, storage, processing, serving and consumption layers.

 * Define lakehouse and data warehouse patterns (medallion architecture, data vault, dimensional models) and choose the right one for each use case.
 * Lead migrations from legacy platforms (on-prem DWH, Hadoop, Teradata, Oracle, SQL Server) to the cloud, including assessment, roadmap and cutover plan.
 * Set standards for data modelling, pipeline design, CI/CD, infrastructure as code and environment strategy.
 * Design data governance, security and compliance: access control, data lineage, cataloguing (Unity Catalog, Snowflake Horizon, Purview), GDPR and local LATAM privacy laws.
 * Optimise platform cost and performance (warehouse sizing, cluster policies, FinOps practices).
 * Run discovery workshops and architecture reviews with client business and technical stakeholders, in Spanish and English.
 * Support pre-sales: solution design, effort estimates, technical sections of proposals and client presentations.
 * Mentor data engineers and review their designs and code; act as the technical point of escalation on the project.
 * Prepare data foundations for BI, advanced analytics, ML and GenAI use cases.