Role Overview
Design, develop, and optimize high-complexity data pipelines using ETL/ELT architectures in batch and streaming environments. Lead the modeling, integration, and automation of data flows destined for Salesforce Marketing Cloud (SFMC). Ensure the quality, integrity, traceability, and resilience of data throughout the architecture.
What You Will Do
Identify opportunities for process and pipeline optimization, act on performance, cost, scalability, and operational efficiency improvements of the data platform. Collaborate with CRM, Marketing, Technology, and Business areas, translating strategic requirements into robust and sustainable data solutions.
Why It Might Be a Fit
Solid experience in Lakehouse architecture, query/clusters tuning, Delta Lake optimization, and complex workflow orchestration. High-performance SQL, advanced Python (PySpark), and dimensional/relational modeling oriented to CRM and analytics. Consistent experience with Git, CI/CD pipelines applied to data, automated testing, and cloud infrastructure management.
Requirements
- Solid experience in Lakehouse architecture, query/clusters tuning, Delta Lake optimization, and complex workflow orchestration.
- High-performance SQL, advanced Python (PySpark), and dimensional/relational modeling oriented to CRM and analytics.
- Consistent experience with Git, CI/CD pipelines applied to data, automated testing, and cloud infrastructure management (AWS, Azure, or GCP).
Benefits
- Reasonable accommodations for people with disabilities who need an accommodation to use or access the VML career site or to participate fully in the recruitment process.
To apply for this job please visit job-boards.greenhouse.io.
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