Data Solution Architect

• Design production-ready data architectures on the Databricks Lakehouse Platform
• Build and optimize Bronze, Silver, and Gold data pipelines
• Troubleshoot and tune large-scale Apache Spark jobs
• Design governance for data and AI assets using Unity Catalog
• Implement access controls, security, and data lineage
• Work with AWS, Azure, or GCP cloud infrastructure
• Optimize Databricks cluster sizing, DBU usage, performance, and cloud costs
• Potentially build and monitor GenAI applications and ML models
• Automate Databricks workflows and support streaming ingestion, data warehousing, and BI integrations

• Expertise designing end-to-end Lakehouse and Medallion architectures with Bronze, Silver, and Gold layers
• Deep understanding of Databricks and Apache 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
• Experience designing unified governance models for data and AI assets, including RBAC, row/column-level security, and data lineage
• Strong knowledge of a native cloud ecosystem: AWS, Azure, or GCP, including VNet setups and IAM roles
• Advanced SQL skills
• Fluency in Python or Scala
• Ability to monitor DBUs, right-size serverless and multi-node clusters, and optimize cloud costs and performance
• Advanced English required
• Must be based in Mexico
• Databricks certifications are nice to have, not required
• Experience with GenAI, MLflow, CI/CD, DevOps, streaming data, data warehousing, and BI tools is nice to have

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