Data Architect (Contract)

hire feed • Emea

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Design, build, and maintain scalable ETL pipelines for data ingestion, transformation, and integration from multiple sources. Develop and optimize logical and physical data models within modern data warehousing environments. Collaborate with cross-functional teams to ensure data accuracy, consistency, and security across platforms.

Key Highlights

Contract role with $30-$100/hour payout

Work on next-generation AI systems with real-world data across finance, healthcare, and engineering domains

No prior AI experience required - domain expertise is prioritized

Opportunity to contribute to human intelligence layer for AI with platform that enabled over 1 million AI-led interviews

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Key Responsibilities

Design, build, and maintain scalable ETL pipelines to support data ingestion, transformation, and integration from multiple sources

Develop and optimize logical and physical data models within modern data warehousing environments

Collaborate closely with cross-functional teams to understand data requirements and deliver reliable data solutions

Monitor, troubleshoot, and enhance data infrastructure for optimal performance and scalability

Ensure data accuracy, consistency, and security across all platforms and solutions

Document technical processes, system designs, and data flows with clarity and precision

Technical Skills Required

ETL development Data warehousing Data modeling Python

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Benefits & Perks

Remote work

Job Description

Role: Data Architect (Remote)
Location: Remote (Work from Anywhere)
Payout: $30 - $100/hour

Role Overview:

We are hiring for one of our clients, seeking a Data Engineer to work on a Contractor basis. This role involves designing, building, and maintaining scalable ETL pipelines to support data ingestion, transformation, and integration from multiple sources, directly contributing to the development of next-generation AI systems. Your work will shape how AI models learn, reason, and perform through high-quality, real-world input across domains like finance, healthcare, and engineering. No prior experience in AI is required — domain expertise is what matters.

Key Responsibilities:

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