Data Architect (Remote)
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Key skills for this role
About the Role
We are hiring for a client seeking a Data Engineer/Architect to design, build, and maintain scalable ETL pipelines for AI systems. You will develop data models and optimize data infrastructure.
Key Skills for This Role
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
Requirements
- Proficiency in ETL development and data warehousing technologies, with hands on experience in MySQL and Python
- Experience designing and optimizing data pipelines for large scale data processing
- Strong understanding of logical and physical data modeling in modern data warehousing environments
- Ability to collaborate effectively with cross functional teams to translate data requirements into technical solutions
- Experience in monitoring, troubleshooting, and optimizing data infrastructure for performance and scalability
- Familiarity with data security best practices and ensuring data accuracy and consistency across platforms
Full Job Posting
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.
- Your work will shape how AI models learn, reason, and perform through high quality, real world input across domains like finance, healthcare, and engineering.
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.
Required Skills & Qualifications
- Proficiency in ETL development and data warehousing technologies, with hands on experience in MySQL and Python.
- Experience designing and optimizing data pipelines for large scale data processing.
- Strong understanding of logical and physical data modeling in modern data warehousing environments.
- Ability to collaborate effectively with cross functional teams to translate data requirements into technical solutions.
- Experience in monitoring, troubleshooting, and optimizing data infrastructure for performance and scalability.
- Familiarity with data security best practices and ensuring data accuracy and consistency across platforms.
More About the Opportunity
- This role offers a unique opportunity to contribute to the human intelligence layer for AI.
- Working with a platform that has enabled over 1 million AI led interviews and raised $40M+ in funding.
- The position provides exposure to cutting edge AI development, global collaboration, and impactful work shaping the future of AI systems across multiple industries.
Equal Opportunity Employer
- We hire based on skills and expertise.
- All qualified candidates are welcome regardless of background, experience, or prior employment history.
- Applications are reviewed solely on demonstrated technical ability and qualifications.
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