Data Engineer / Integrations Lead (AI-Native)

Position Overview

Skiffra is building the intelligence layer for modern enterprises by designing AI-native orchestration systems that transform messy, real-world operations into intelligent, adaptive workflows. As a founding Data Engineer, you will design and own the data pipelines and integrations powering Skiffra’s AI-native orchestration platform, working directly with the founding team on zero-to-one systems deployed in complex, real environments.

Key Responsibilities

• Build and maintain real-time and batch data pipelines across enterprise systems
• Integrate ERPs, operational tools, APIs, and legacy systems into a clean internal data layer
• Design schemas and data contracts consumed by LLMs, agents, and workflow engines
• Own ingestion, normalization, and transformation of structured, semi-structured, and unstructured data
• Partner closely with product and engineering teams to translate operational needs into data systems
• Implement monitoring, observability, and baseline data quality checks
• Operate with speed and rigor in environments where reliability matters

Required Qualifications

• 7+ years building production data or backend systems
• Strong Python and SQL skills
• Experience with ETL/ELT pipelines and API-based integrations
• Familiarity with cloud data infrastructure and streaming or event-driven systems
• Ability to work independently and make sound technical tradeoffs
• Comfort operating without perfect requirements or documentation

Preferred Qualifications

• Experience with industrial, operational, or enterprise data systems
• Exposure to AI- or ML-adjacent data workflows
• Experience designing systems consumed by LLMs or agents
• Startup or founding-team experience

Benefits & Perks

• Health Insurance
• Retirement Plans
• Bonus and Incentive Programs