Data Solution Architect

• Design end-to-end, production-ready data architectures and pipelines using Lakehouse and Medallion Architecture
• Troubleshoot and tune large-scale Spark jobs
• Design unified data and AI governance models
• Configure and work with cloud infrastructure across AWS, Azure, or GCP
• Develop data solutions using advanced SQL and Python or Scala
• Monitor Databricks Units, right-size clusters, and optimize performance and cloud costs
• Potentially integrate GenAI and MLflow, CI/CD and DevOps workflows, streaming data, data warehousing, and BI tools

• Expertise in designing end-to-end data architectures using Lakehouse and Medallion Architecture, including Bronze, Silver, and Gold layers
• Deep understanding of Databricks and Spark internals and distributed computing
• Ability to troubleshoot and tune large-scale Spark jobs using caching, partitioning, and broadcast joins
• Understanding of Delta Lake ACID transactions, schema enforcement, time travel, and Z-ordering
• Proven ability to design unified governance models for data and AI assets, including RBAC, row-level security, column-level security, and data lineage
• Strong grasp of AWS, Azure, or GCP cloud ecosystems, including VNet setups and IAM roles
• Advanced SQL skills and fluency in Python or Scala
• Ability to monitor DBUs, right-size serverless and multi-node clusters, and optimize cloud costs
• Advanced conversational English and Spanish; both essential and evaluated
• Candidates residing in Mexico must be currently residing in Mexico
• Foreigners residing in Mexico must have a valid INE, CURP, NSS, and RFC
• Must have RFC with homoclave and current Constancia de Situación Fiscal issued by Mexico's SAT

• Excellent superior benefits