Description

You will define and build complex data solutions across the technology stack, combining high-level architecture with hands-on delivery.

This role is on-site.

Responsibilities

• Design and implement microservices-based architectures and data processing components.
• Lead client technical discussions, manage expectations, and handle escalations.
• Drive ETL and analytics implementations using modern data platforms.
• Build, debug, and review data processing components hands-on.

Required Skills

• 15+ years of experience combining solution architecture with hands-on delivery.
• Deep, practical experience with Databricks (Lakehouse, ETL, analytics, or AI workloads).
• Strong hands-on expertise with PySpark and Python for large-scale data processing.
• Experience designing and implementing microservices architectures.
• Familiarity with AI workloads and ETL processes.
• Experience in data analytics and data solution architecture.

Key Skills

Education

Any Gradute