Position Details
About this role
This role involves designing and implementing data architecture, pipelines, and standards to support enterprise analytics and AI projects. The candidate will work closely with engineering and AI teams to optimize data workflows.
Key Responsibilities
- Implement data lake architecture
- Collaborate on data pipeline design
- Optimize data retrieval
- Support AI data needs
- Establish data standards
Technical Overview
Focus on data lake architecture, data pipelines, cloud platforms like AWS, and open-source LLMs such as Llama, with tools like Snowflake and Databricks.
Ideal Candidate
The ideal candidate is an experienced data architect with expertise in data lake architecture, data pipelines, and cloud platforms like AWS. They should be familiar with open-source LLMs and capable of designing scalable data solutions supporting AI initiatives.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with data lake or pipelines, No AWS or Python experience, Unwillingness to work remotely
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