Data Architect (Spanish-speaking)
N-iX, LATAM +1
N-iX has this job in 1 other place
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.
What you will do
- 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.
What you need
- 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.
Source: the N-iX Greenhouse job board. We last checked this job 4 h ago. We first saw it 6 days ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.