Senior Data Engineer

Customer Engagement & Solution Ownership:

• Partner directly with enterprise customers to understand data challenges and define requirements.
• Own technical delivery from discovery through implementation and adoption.
• Present architectures and business outcomes to technical and executive audiences.

Data Platform & Pipeline Engineering:

• Design and maintain scalable batch and real-time data pipelines using Databricks, ClickHouse, and Python.
• Develop robust ETL/ELT frameworks, data models, and quality monitoring processes.
• Optimize data storage, query performance, and cost efficiency across large-scale datasets.

Engineering Leadership & Collaboration:

• Collaborate with Product, Engineering, and Customer Success teams to deliver outcomes.
• Drive best practices in governance, security, and operational excellence.
• Mentor junior engineers and contribute to architecture decisions and platform evolution.