Related skills
azure docker aws python kubernetes📋 Description
- Lead design and implement data and AI/ML architectures across cloud and on‑prem
- Lead complex customer engagements with strategic technical vision
- Build relationships with stakeholders; act as trusted advisor
- Lead workshops, training, and presentations
- Define data lifecycle: ingestion, storage, processing, visualization
- Ensure security/compliance with AWS Well-Architected and GCP frameworks
🎯 Requirements
- 7+ years in solutions architecture focusing on Big Data and cloud (AWS, GCP, Azure)
- Excellent communication and problem‑solving; explain complex concepts to varied audiences
- Technical sales/pre-sales experience with cloud, big data, ML solutions
- Strong leadership and cross-functional mentoring abilities
- Proficiency in data engineering/analytics on AWS/GCP/Azure data stack
- Hands-on with Kubernetes, Docker; backend languages TS/Java/Python
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