Lead Data Software Engineer
Remote in Argentina, & 4 others
Data Software Engineering& 10 others
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We are building cloud-scale data pipelines and platforms as a Lead Data Software Engineer to enable analytics, reporting, and AI-driven initiatives. You will collaborate with Product, Engineering, and Business teams to deliver reliable solutions using Azure Databricks, Spark, Kafka, and modern governance practices.
Responsibilities
- Design scalable batch and streaming data pipelines
- Build and fine-tune Databricks, Spark, and Kafka-based solutions
- Implement data quality, governance, and observability standards
- Develop data models and reporting foundations for analytics and AI initiatives
- Collaborate with Product, Engineering, and Business teams to deliver data-driven solutions
- Support enterprise reporting, dashboards, and self-service analytics platforms
- Leverage AI tools such as Claude Code, GitHub Copilot, and similar platforms for development, testing, and productivity improvements
- Apply MCP, prompt engineering, and multiple LLMs in AI-assisted development workflows
Requirements
- Proven track record with 5+ years of experience in data engineering or a related field
- Hands-on proficiency in SQL, Python, PySpark, Scala, and Java
- Deep expertise in Apache Spark, Spark SQL, Kafka, and Delta Lake
- Strong experience with Azure Databricks, Unity Catalog, and Databricks Asset Bundles (DAB)
- Solid familiarity with Azure Data Factory (ADF), ADLS Gen2, Azure Key Vault, Azure Cosmos DB, and Azure Monitor
- Thorough knowledge of Data Modeling, Data Quality, Data Governance, and PII Handling
- Demonstrated background in Medallion Architecture (Bronze/Silver/Gold), CDC, and SCD Type 1 & Type 2
- Practical competency in Azure DevOps, Git, CI/CD, and Gradle
- English proficiency at B2+ (Upper-Intermediate) level
Nice to have
- Familiarity with Tableau, ThoughtSpot, Cognos, and Data Visualization Best Practices
- Knowledge of Semantic Layer Concepts, AI/BI Dashboards, and Databricks Genie
- Understanding of scalable data platforms, analytics, and reporting solutions
