Data Architect (Spanish-speaking)

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