Data Platform Architect (GCP)
SoftServe
- Praca zdalna
3+ years of experience as a Data Platform Architect or similar roleStrong expertise in designing and operating enterprise data platforms on Google Cloud PlatformHands-on experience with services such as BigQuery, Dataflow, Composer, Dataform, Dataplex, and GKEProficiency in Infrastructure as Code with Terraform and CI/CD pipelines using GitLab CIProgramming and scripting skills in Java, Python, or BashSolid understanding of databases, distributed systems, and data engineering fundamentalsExperience with modern cloud data architectures and data mesh conceptsStrong stakeholder management skills with the ability to communicate complex topics clearlyFluent English communication skills at Upper-Intermediate level or higher In this role, you will take ownership of designing and evolving an enterprise-scale data platform on Google Cloud Platform for a leading US-based healthcare services provider. Working within SoftServe’s Big Data & Analytics Center of Excellence, you will operate at the intersection of strategy and hands-on delivery, shaping modern data solutions that support scalability, reliability, and data mesh adoption. ,[Design high-level and low-level data platform architecture on Google Cloud Platform, ensuring alignment with evolving business and technical requirements, Own and evolve the enterprise data platform, improving scalability, reliability, and support for new analytical and operational use cases, Collaborate closely with data engineers, enterprise architects, and business stakeholders to translate business needs into effective technical solutions, Build and extend data platform components using GCP services such as BigQuery, Dataflow, Composer, Dataform, Dataplex, and GKE, Define and promote platform-level standards, tooling, and best practices to support a modern data mesh architecture, Provide architectural guidance and hands-on support to engineering teams, unblocking delivery risks and ensuring solution quality, Drive Infrastructure as Code and CI/CD practices using Terraform and GitLab CI to ensure repeatable and secure deployments, Mentor and coach engineers and cross-functional teams, contributing to technical growth and long-term platform maturity] Requirements: GCP, Java, Python Tools: . Additionally: Sport subscription, Training budget, Private healthcare, International projects.