Position Details
About this role
This role involves working with clients to design and implement big data solutions using the Databricks platform, focusing on data engineering, data science, and cloud integration.
Key Responsibilities
- Designing reference architectures
- Building customer use cases
- Supporting operational issues
- Collaborating with technical teams
- Guiding project scope
Technical Overview
Technical scope includes data architecture, distributed computing with Apache Spark, cloud platforms (AWS, Azure, GCP), and MLOps, with a focus on project delivery and customer support.
Ideal Candidate
The ideal candidate is a mid-level data solutions architect with over 6 years of experience in data engineering, cloud platforms, and distributed computing. They possess strong technical skills in Spark, Python, and cloud ecosystems, with a focus on customer success and project delivery.
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
Less than 6 years experience in data engineering, Lack of experience with Apache Spark, No cloud platform knowledge, No customer engagement experience
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