Data Solution Architect

About the role

Design end-to-end data architectures and govern data and AI assets on a cloud data platform. The role focuses on reliable production pipelines, performance tuning and keeping cloud costs under control.

What you will do

• Design layered data architectures that support dependable production pipelines
• Tune large-scale distributed Spark workloads for performance and stability
• Set up unified governance for data and AI assets, including access control and lineage
• Work within the native cloud ecosystem, covering networking and identity roles
• Monitor platform usage and right-size clusters to control cloud spend

What they look for

• Hands-on expertise with lakehouse and medallion architecture patterns
• Deep knowledge of distributed computing and Spark internals
• Understanding of transactional storage concepts such as ACID, schema enforcement and time travel
• Experience designing role-based and row or column level security with data lineage
• Strong SQL plus fluency in Python or Scala
• Advanced spoken English and Spanish

Nice to have

• Valid platform certifications for data architect or data engineer
• Experience deploying and monitoring generative AI and machine learning models
• Automation of workflows with Git and orchestration tools such as dbt, Airflow or cloud data factories
• Familiarity with streaming ingestion and data warehousing for BI tools

Benefits

• Excellent superior benefits