Data Enigneer - Databricks

Overview 
Software Mind is seeking qualified candidates located in Latam to fill the role of Databricks Data Engineer  
 
In addition to a competitive salary rate and a positive work environment committed to delivering high-quality technology solutions, we also offer: 
 

• Flexible schedules and authentic work-life balance 
• Opportunities for continuing education 
• Social activities per country sponsored by the company 
• Birthday celebration 
• Payment in US Dollars 

 
 
About the role: 
 Our client is a product strategy, design, and development agency that works side-by-side with ambitious companies, brands, and founders to execute their holistic approach to strategy, design, and engineering.  We are seeking a highly skilled and certified Databricks Data Engineer to join a high-impact team tasked with rearchitecting a global-scale data platform for a leading consulting firm. This is a unique opportunity to work at the intersection of cloud engineering, data infrastructure, and platform modernization within a complex, enterprise-grade environment.   
Some of the main responsibilities for this role: 

• Design, develop, and optimize scalable data pipelines in Databricks, supporting ingestion, processing, and transformation of large volumes of structured and unstructured data. 
• Implement and refine medallion architecture (Bronze, Silver, Gold layers) for a highly governed and performant data lakehouse environment. 
• Collaborate with cloud engineers, architects, and business stakeholders to modernize and enhance the platform’s data capabilities. 
• Optimize performance and cost-efficiency across computer clusters, data models, and storage layers. 
• Apply enterprise-grade best practices around data governance, lineage, observability, and security. 
• Contribute to architectural decisions for data lakehouse design and support migration of legacy systems to the new platform. 
• Build reusable frameworks and tooling to support data operations, data quality, and monitoring at scale. 

  Job Skills/Requirements 
- +90% English written and oral (at least B2 level) with excellent communication skills - 3–4+ years of experience as a Data Engineer, with 2+ years of hands-on Databricks experience in an enterprise environment. - Proven experience implementing and optimizing the medallion architecture (Bronze, Silver, Gold) at scale. - Strong expertise in Apache Spark, Delta Lake, and PySpark. - Deep knowledge of data modeling, ETL/ELT pipeline development, and performance tuning. - Experience working with large-scale data lakes and lakehouse architectures in a cloud-native environment, preferably on AWS. - Proficient in SQL and scripting languages (e.g., Python). - Experience with data governance, cataloging, and observability tools (e.g., Unity Catalog, Monte Carlo, Great Expectations, etc.) is a plus. - Comfortable working in Agile environments with strong collaboration and communication skills.  Preferred Qualifications - Prior experience delivering platform modernization projects in large, matrixed organizations. - Experience integrating Databricks with enterprise cloud services (e.g., S3, Glue, Redshift, Snowflake, Kafka, etc.). - Familiarity with CI/CD, DevOps for data engineering, and Infrastructure as Code practices.  
     
 
Apply today to learn more about this exciting opportunity. We are actively interviewing now for this position.