Senior Data Engineer - Paradox Machines

The role

You will design and ship data infrastructure including modern data platforms, scalable pipelines, and reporting and AI layers. You will lead client-facing projects, implement solutions, and act as a trusted partner to customers.

What you will do

• Architect and implement data platforms end-to-end
• Design data models for business, analytics and AI consumption
• Implement streaming pipelines in production
• Scope requirements and present architecture decisions to client teams
• Walk stakeholders through tradeoffs
• Communicate with engineers and business leaders

Required qualifications

• Clear communication
• Significant experience building production data systems
• Senior-level ownership of architecture decisions
• Deep understanding of modern data architecture and platforms
• Implemented Snowflake, BigQuery, or Databricks
• Hands-on knowledge of building scalable and secure data pipelines
• Knowledge of orchestration, transformation frameworks (dbt or similar), and cloud infrastructure (AWS or GCP)
• Strong opinions on data modeling best practices (Kimball, star schema, Data Vault)
• Genuine interest in how AI changes data platform design
• Experience implementing streaming pipelines with Kafka, Flink, Redpanda, or similar
• Business orientation and focus on results
• A bias for doing

Nice to have

• Direct experience with how AI changes data platform design (semantic layers, metadata, and governance)

Benefits

• Medical, dental, and vision coverage
• Unlimited PTO
• 401(k) Plan

About the company

Paradox Machines is a data and AI company. It is a venture-backed company working on making company data usable by people, applications and agents.