Senior Data Architect

• Design and own the end-to-end lakehouse architecture on Databricks using Medallion (bronze/silver/gold) patterns
• Build and optimize scalable batch and streaming pipelines in PySpark, Spark SQL and Python
• Lead platform migrations, such as legacy data warehouse or Hadoop/EMR to Databricks, with measurable cost and runtime gains
• Define data governance including Unity Catalog, fine-grained access control, auditing, lineage and compliance
• Model data for analytics and operations across OLTP/OLAP, dimensional, SQL and NoSQL models
• Set engineering standards for CI/CD, unit and integration tests, code review, reusable Python packages and Databricks Asset Bundles
• Manage infrastructure as code with Terraform and drive FinOps practices to control cloud spend
• Evaluate and prototype AI use cases including LLMs, vector databases, agents and MLflow
• Advise other teams on architecture and mentor junior and mid-level engineers
• Explain design trade-offs to engineers and non-technical stakeholders

• Based in Latin America and available to work remotely
• English-fluent; English at C1 level or higher
• 10+ years in data engineering, including 5+ years hands-on with Databricks and Spark in production
• Strong Python and PySpark; working knowledge of Scala and advanced SQL
• Proven record designing data lakes, data warehouses and lakehouses, including at least one large migration led
• Production experience on at least one major cloud: AWS, Azure or GCP
• Hands-on data governance with Unity Catalog, access controls, lineage and auditing
• Solid software engineering practice: Git workflows, automated testing, CI/CD (Azure DevOps, GitHub Actions or similar)
• Infrastructure as code with Terraform
• Ability to explain design trade-offs clearly to engineers and non-technical stakeholders
• Experience mentoring engineers
• Spanish or Portuguese is a plus
• Databricks certifications are a plus
• AWS Solutions Architect or equivalent cloud architecture certification is a plus
• Multi-cloud experience across AWS, Azure and GCP is a plus
• Experience building agentic or RAG solutions with LangChain, LangGraph, MLflow, OpenAI APIs and vector databases is a plus
• Real-time and IoT data processing at high volume is a plus
• Background in finance, telecom, payments or SaaS data domains is a plus

• Full-time contract through a payroll platform
• Remote work allocated at the client
• Salary of USD $7,000–$8,800 per month, depending on seniority and skillset