We are seeking a Chief Data Software Engineer to build cloud-scale data pipelines and platforms for analytics, reporting, and AI-driven initiatives. You will partner with Product, Engineering, and Business to ship dependable solutions on Azure Databricks, Spark, Kafka, and modern governance practices.

Responsibilities

- Architect scalable batch and streaming data pipelines
- Engineer and optimize Databricks, Spark, and Kafka-based solutions
- Establish data quality, governance, and observability standards
- Create data models and reporting foundations for analytics and AI initiatives
- Partner with Product, Engineering, and Business teams to deliver data-driven solutions
- Enable enterprise reporting, dashboards, and self-service analytics platforms
- Use 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 7+ 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

We offer

- International projects with top brands
- Work with integral teams of highly skilled, diverse peers
- Healthcare benefits
- Employee financial programs
- Paid time off and sick leave
- Upskilling, reskilling and certification courses
- Unlimited access to the LinkedIn Learning library and 22,000+ courses
- General career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

📌 Chief Data Software Engineer (Argentina)
🏢 EPAM Systems
📍 Argentina