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N-iX

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Data Architect (Spanish-speaking)

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Summary

Leads end-to-end design of cloud data platforms for N-iX clients, running discovery workshops and pre-sales in Spanish and English while mentoring data engineers. Core stack: Snowflake and/or Databricks on Azure/AWS, with SQL, Python/Scala, Spark, IaC and CI/CD.

N-iX is a global software engineering and technology services company, building solutions for clients since 2002. Our teams work across Europe, the Americas, and Asia for Fortune 500 companies and fast-growing businesses in finance, retail, manufacturing, telecom, healthcare, and more.

Our Data & Analytics practice designs and delivers modern data platforms on Snowflake, Databricks, Azure and AWS, from first assessment to production at scale.

About the role

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.

The role mixes hands-on technical leadership with consulting: you will shape solutions in pre-sales, run discovery workshops, and stay accountable for architecture quality once the project is live.

Responsibilities

  • 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.

Requirements

  • 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.

Nice to have

  • 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.

We offer*:

  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits

*not applicable for freelancers

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