- Location
- Europe · LATAM
- Department
- Engineering
Description
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