REMOTE / WORK FROM HOME POSITION
Before applying, please note:

The entire application process must be completed in English. Fluent written and spoken English is required and will be evaluated.

Applicants must be independent freelancers, not represented by another agency.

Job Overview / Purpose Statement
The Senior Data Engineer owns company data architecture and manages scalable Databricks pipelines using medallion architecture and Delta Lake. This role is responsible for driving advanced data solutions, optimizing pipeline costs, prioritizing feature deployments, owning the semantic layer, and mentoring the Junior Data Engineer. Working across teams, the Senior Data Engineer ensures high performance, data reliability, and scalable infrastructure to meet organizational growth goals.

Responsibilities & Duties
Databricks & Pipeline Management:
• Manage, monitor, and scale production data pipelines and medallion architecture (Bronze, Silver, Gold) hosted on Databricks using Delta Lake or Iceberg.




• Continuously review and optimize pipeline infrastructure to reduce operational and compute costs.

Data Ownership & Architecture:
• Act as the primary owner of company data, ensuring governance, accuracy, and high availability.
• Design scalable dimensional models and star schemas for downstream analytics and multi-CRM data marts.
• Act as the sole owner and architect of the enterprise semantic layer, governing business metrics and data definitions for reporting.

Feature Prioritization & Deployment:
• Prioritize new data features, enhancements, and pipeline deployments aligned with business priorities.

Mentorship & Collaboration:
• Support, guide, and mentor the Junior Data Engineer to ensure technical growth and quality execution.
• Collaborate with cross-functional stakeholders to align data engineering deliverables with business objectives.

Requirements

Required Skills & Qualifications
• Databricks Certified Associate or Professional Data Engineer certification (M

📌 Senior Data Engineer (Lima)
🏢 Fountain Forward
📍 Lima