Data Architect

About the role

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.

We are looking for a 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, 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.

- Optimize platform cost and performance (warehouse sizing, cluster policies, FinOps practices).

- Run discovery workshops and architecture reviews with client business and technical stakeholders, in 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.