Position Details
About this role
This role involves designing and implementing big data architectures, working with cloud platforms, and supporting data science and machine learning projects in a SaaS environment.
Key Responsibilities
- Partner with sales and customers to develop architectures
- Drive technical discovery and solution design
- Implement proof of concepts for strategic projects
- Validate integrations with cloud and third-party tools
- Support open-source projects and community engagement
Technical Overview
The technical environment includes distributed data systems like Spark, Hadoop, Kafka, and cloud platforms such as AWS, Azure, and GCP, with a focus on data engineering, data science, and ML workflows.
Ideal Candidate
The ideal candidate is a mid-level data engineer or architect with 5+ years of experience in data systems, proficient in Python, SQL, and cloud platforms like AWS, Azure, or GCP. They possess strong communication skills and a proven track record in building distributed data architectures.
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 distributed data systems, No cloud platform experience, Less than 5 years of relevant experience, Unwillingness to travel
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