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Lead Data Solutions Architect

Lead Data Solutions Architect

BebeedataengineerSão Paulo, Brasil
Há 3 dias
Descrição da vaga

Job DescriptionYou will work for a US-based technology company helping independent retailers adopt and embrace digital marketing solutions.

We build thousands of retailer websites that must run reliably, efficiently, and effectively.We are looking for the best and this position is perfect for you if you are looking to work with a fast growing and stable American company.The ResponsibilitiesDesign robust backend services in Node.js, Python, and other technologies to process and deliver real-time and batch data.Integrate new data sources and improve existing ones using different methods.Architect and manage cloud-native data infrastructure on GCP (e.g., BigQuery, Dataflow, Pub / Sub, Cloud Storage).

Build and optimize data orchestration and deployment pipelines using Kubernetes and modern CI / CD tooling.Expose data via internal dashboards, admin tools, and customer-facing components.Ensure data reliability, availability, and security across all services and systems.Collaborate with data scientists, analysts, and other engineers to build tools that unlock business insights from large-scale data.Define data governance, quality, and observability standards.Mentor other engineers and contribute to a culture of technical excellence and continuous learning.Requirements and Qualifications8+ years of experience in backend or platform engineering, with a focus on data-intensive systems.Strong experience with Node.js and modern JavaScript / TypeScript development.Deep hands-on experience with Google Cloud Platform, including BigQuery, Pub / Sub, Cloud Functions, and GKE.Proficient in Kubernetes for deploying and scaling data services.Working knowledge of React for integrating backend systems with internal tools or dashboards.Solid understanding of data modeling, pipelines, and streaming architectures.Experience building and maintaining CI / CD pipelines for data applications.Strong experience working with Google Cloud Platform (GCP) – BigQuery, Dataflow, Pub / Sub, Cloud Storage, Kubernetes.Experience with FinOps best practices and auditing procedures.Strong understanding of deduplication to optimize data storage and reduce cloud costs.Strong English communication skills.

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