Data Architect

Our client, a leading organization in the technology and customer experience sector, is seeking a GCP Data Architect to join their innovative team. As part of the Enterprise Solutions organization, you will play a key role in supporting digital transformation initiatives and building next-generation cloud data platforms. The ideal candidate will bring a combination of technical expertise, strategic thinking, strong communication skills, and a collaborative mindset. GCP Data Architect Hybrid | Chicago, IL Rate: Commensurate with Experience About the Role We are seeking a hands-on GCP Data Architect to design, build, and optimize scalable, cloud-native data solutions on Google Cloud Platform (GCP) . This role is ideal for a technical leader who enjoys both architecture and implementation, with deep expertise in BigQuery, Dataflow, Pub/Sub, and Python . As a GCP Data Architect, you will drive the design and delivery of modern data platforms that support enterprise-scale analytics, real-time processing, and data-driven decision-making. You will collaborate with cross-functional teams to build secure, high-performing, and cost-effective data ecosystems while helping shape the organization's overall data strategy. Key Responsibilities Design and architect scalable, secure, and cost-efficient data platforms on Google Cloud Platform. Lead the development of batch and real-time data ingestion, transformation, and processing solutions. Build modern data architectures leveraging BigQuery, Dataflow, Pub/Sub , and other GCP services. Evaluate and implement distributed processing and data movement patterns based on business requirements. Design, develop, and optimize enterprise-scale ETL/ELT pipelines. Provide technical leadership and architectural guidance for data modeling, storage, governance, performance, and scalability. Collaborate with data engineers, application developers, platform teams, and business stakeholders to deliver data solutions. Support cloud-native deployment patterns using Cloud Run , Google Kubernetes Engine (GKE) , and related technologies. Contribute to infrastructure automation, DevOps processes, and CI/CD best practices. Participate in architecture reviews, technical design discussions, and code reviews. Troubleshoot, optimize, and enhance data processing workloads and platform performance. Stay current on emerging GCP technologies and recommend best practices for cloud data architecture. Required Qualifications 7+ years of experience in Data Engineering, Data Architecture, or Cloud Data Platform development. Strong hands-on expertise with: Google BigQuery Google Cloud Dataflow Google Cloud Pub/Sub Python Proven experience designing and implementing enterprise data solutions on Google Cloud Platform (GCP) . Strong understanding of: Distributed systems Data pipeline architecture Batch and streaming data processing Large-scale data processing and analytics Experience developing, deploying, and supporting production-grade data pipelines. Ability to balance strategic architecture responsibilities with hands-on development. Experience with cloud-native application deployment patterns, including Cloud Run and/or GKE . Strong analytical, problem-solving, and troubleshooting skills. Excellent verbal and written communication skills with the ability to engage technical and business stakeholders. Preferred Qualifications Experience with Infrastructure as Code (Terraform or similar tools). Knowledge of data governance, security, and compliance best practices. Experience implementing CI/CD pipelines for cloud-based data platforms. GCP certifications such as: Professional Data Engineer Professional Cloud Architect Experience working in Agile development environments. Why Join This Opportunity? Work on large-scale, cloud-native data initiatives using cutting-edge GCP technologies. Collaborate with talented architects, engineers, and business leaders. Influence enterprise data strategy while remaining hands-on with implementation. Solve complex data challenges that drive measurable business impact. Join a collaborative team focused on innovation, scalability, and continuous improvement. Work Model This is a hybrid position based in Chicago, IL. Candidates should be able to work onsite as required while collaborating effectively with distributed teams. #J-18808-Ljbffr