Senior Cloud Data Architect
Join our Cloud & Data practice as a senior technical authority designing advanced data platforms for international enterprise clients. You will lead architecture for multi cloud environments (AWS, Azure, GCP), build scalable lakehouse solutions in Databricks, and support both delivery and presales activities. You’ll work closely with cloud engineers, data engineers, and business stakeholders to deliver modern, secure, high performance data ecosystems.
• Design and architect cloud data platforms across AWS, Azure, and GCP, ensuring performance, scalability, and security.
• Lead the creation of Databricks lakehouse architectures, including ingestion, storage, governance, and ML enablement.
• Define technical strategy, solution blueprints, and reference architectures for cloud data ecosystems.
• Lead and support presales activities: shaping solutions, defining scope, conducting technical workshops, and creating architecture proposals.
• Oversee technical delivery, ensuring best practices in data engineering, DevOps, automation, and cloud services.
• Build end to end DevOps workflows using Azure DevOps and GitHub for CI/CD, infrastructure as code, and platform automation.
• Collaborate with stakeholders to translate business requirements into scalable technical designs.
• Mentor engineers, promoting strong engineering standards and architectural excellence.
• Extensive experience architecting cloud environments using AWS, Azure, and GCP.
• Strong hands on expertise with Databricks, Data Governance, Delta Lake, Unity Catalog, and modern lakehouse patterns.
• Ability to design enterprise grade ingestion, governance, orchestration, and data modeling pipelines.
• Proficiency in DevOps and automation using Azure DevOps, GitHub Actions, Terraform, or similar tools.
• Strong background in distributed systems, cloud security, networking, and compute/storage architectures.
• Proven experience running technical workshops with clients and defining architecture documentation.
• Experience supporting presales or working closely with sales teams on technical proposals.
• Excellent communication skills in English (B2+) for client facing interactions.
• Cloud certifications such as AWS Solutions Architect, Azure Architect Expert, or GCP Professional Cloud Architect.
• Databricks certifications (Data Engineer, Data Architect, Machine Learning).
• Experience with Kubernetes, containerized data workloads, or data mesh oriented architectures, and MS Fabric.
• Familiarity with ML platforms and MLOps tooling.
• Background in consulting or enterprise scale transformation programs.
