Senior Solutions Architect - Data & Ai (Google Cloud Platform)

Experteer Overview As a senior, hands-on Solutions Architect in Kyndryl’s ADAI practice, you will design and deliver scalable data and AI solutions on Google Cloud Platform.You’ll lead end-to-end architectures spanning ingestion, storage, processing, analytics, governance, and AI enablement, while guiding engineering teams during delivery.You translate business needs into actionable roadmaps and participate in PoCs and architecture validation.Your work directly supports enterprise data initiatives and cross-functional modernization.This role offers a meaningful opportunity to shape cloud-native data u**amp; AI solutions at scale.Compensaciones / Beneficios- Lead design of end-to-end data and AI solution architectures on Google Cloud Platform- Define scalable architectures for data ingestion, storage, processing, analytics, governance, and AI enablement- Act as a hands-on architect supporting engineering teams during implementation and delivery- Translate business and technical requirements into scalable designs and roadmaps- Participate in PoCs, architecture validation, and technical design sessions- Support troubleshooting, performance optimization, and complex delivery challengesResponsabilidades- 7+ years of experience as a Solutions Architect, Data Architect, Cloud Architect, or Lead Engineer- Proven experience delivering enterprise-scale data and analytics platforms- Strong expertise with GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, Composer, Vertex AI, IAM, networking)- Practical experience with data integration, ETL/ELT, APIs, streaming architectures, and distributed systems- Solid understanding of modern data architectures (data lakes, data warehouses, lakehouse, real-time analytics)Requisitos principales- hybrid-friendly culture- Be Well programs- career development and certifications (Microsoft, Google, Amazon)- dynamic and impactful projects- continuous learning and coaching- empowerment and growth

7+ years of experience as a Solutions Architect, Data Architect, Cloud Architect, or Lead Engineer

• Proven experience delivering enterprise-scale data and analytics platforms
• Strong expertise with GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, Composer, Vertex AI, IAM, networking)
• Practical experience with data integration, ETL/ELT, APIs, streaming architectures, and distributed systems
• Solid understanding of modern data architectures (data lakes, data warehouses, lakehouse, real-time analytics)Requisitos principales
• hybrid-friendly culture
• Be Well programs
• career development and certifications (Microsoft, Google, Amazon)
• dynamic and impactful projects
• continuous learning and coaching
• empowerment and growth