Position Details
About this role
This role involves designing, developing, and maintaining large-scale data architectures and pipelines in hybrid-cloud environments to support business and data science needs.
Key Responsibilities
- Designs data architecture
- Develops data models
- Builds data pipelines
- Optimizes data storage
- Leverages automation
Technical Overview
Focuses on cloud-based data solutions using AWS, Azure, and GCP, with skills in data modeling, ETL, APIs, and automation tools.
Ideal Candidate
The ideal candidate is a mid-level data solutions architect with 1+ years of experience designing and implementing data platforms using cloud technologies like AWS, Azure, or GCP. They possess strong skills in data modeling, ETL processes, and API configuration, with a passion for building scalable data solutions.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Certifications
Preferred
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with cloud platforms (AWS, Azure, GCP), No experience with data pipelines or ETL tools, No programming skills in Python, C++, or Java, Less than 1 year of relevant experience
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