Position Details
About this role
This role involves designing and implementing distributed data systems, working closely with customers to develop scalable data architectures, and supporting data analytics and engineering projects.
Key Responsibilities
- Design distributed data architectures
- Support customer data projects
- Lead technical discussions and demonstrations
- Collaborate with cross-functional teams
- Support cloud and data platform integrations
Technical Overview
The technical environment includes distributed data systems such as Spark, Hadoop, Kafka, and cloud platforms like AWS, Azure, and GCP, with a focus on data engineering, warehousing, and customer solutions.
Ideal Candidate
The ideal candidate is a solutions architect with at least 3 years of experience in designing distributed data systems, proficient in multiple programming languages including Python, Scala, Java, and experienced with cloud platforms like AWS, Azure, or GCP.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 3 years of relevant experience, No experience with cloud providers, Lack of customer-facing experience, Unwillingness to work in the US
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile