Data Architect (Remote)
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Key skills for this role
About the Role
Hire Feed is hiring a Data Architect on a contract basis for one of its clients. You will design, build, and maintain scalable ETL pipelines and data models to support AI systems across finance, healthcare, and engineering.
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, 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.
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.
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