Data Architect (Machine Learning)

Job Description Position: GCP Data Architect Employment Type: Contract, Full time Start: ASAP Location: London – Hybrid Language: English Role: We are seeking an experienced GCP Data Architect to lead the design and development of cloud data architectures on Google Cloud Platform. This role is crucial in transforming our client’s enterprise data landscape to support scalability, security, and innovation. As a Data Architect, you will define architectural standards, guide engineering teams, and ensure our data solutions align with both technical and business goals. 7+ years of experience in data engineering or data architecture roles 3+ years of hands-on experience architecting data solutions on Google Cloud Platform ~ Proficient in data modeling, data warehousing, and ETL/ELT architectures ~ Terraform, Deployment Manager) Deep understanding of data governance, security, and compliance frameworks ~ GCP Professional Data Engineer or Professional Cloud Architect certification ~ Experience with hybrid or multi-cloud architectures ~ Background in machine learning pipelines and AI integration on GCP ~ Design and implement enterprise-scale data architectures using GCP services like BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Dataproc Define data modeling standards, integration patterns, and governance frameworks Collaborate with stakeholders across engineering, analytics, product, and operations to understand requirements and translate them into scalable data solutions Provide architectural leadership in building modern data platforms that support both batch and real-time processing Guide and mentor engineering teams on best practices in GCP architecture and data engineering Ensure data security, compliance (e.G., Evaluate and recommend GCP- and third-party tools to optimize performance and cost