Related skills
java docker aws python kubernetes📋 Description
- Lead design and implementation of data and AI/ML architectures across cloud and on-prem.
- Lead complex customer engagements with strategic technical vision.
- Build relationships with key stakeholders, acting as trusted advisor.
- Lead workshops, training sessions, and presentations.
- Define data lifecycle: ingestion, storage, processing, visualization.
- Ensure security, compliance, and architecture frameworks; drive AI PoCs.
🎯 Requirements
- 7+ years in solutions architecture focusing on Big Data and cloud (AWS/GCP/Azure).
- Excellent communication; articulate complex concepts to diverse audiences.
- Technical sales/pre-sales with cloud, big data, and ML.
- Strong leadership and cross-functional team collaboration.
- Proficient in data lakes, warehouses, real-time analytics.
- Microservices and container deployments; Kubernetes and Docker.
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