Cloud / Infrastructure Architect — JAPAC Flex

Role & Responsibilities Serve as the Lead Cloud Engineer for customer engagements. Collaborate closely with the Lead Data Consultant throughout project delivery. Define solution architecture and detailed designs for data platforms on Google Cloud Platform (GCP). Build and deliver solutions, including hands-on development and coding based on approved designs. Engage directly with the client's Data Engineering team, providing consulting, guidance, and technical leadership on both solution architecture and implementation. Perform pair programming with client Data Engineers and facilitate knowledge transfer of the developed solution to the client team. Minimum Qualifications Solution Architecture Knowledge & Expertise Experience designing data platform architectures for: Migration of open-source or public cloud data platforms to the cloud, preferably Google Cloud Platform (GCP). Greenfield cloud-native data platform implementations. Ability to research tools and technologies, identify key evaluation criteria, and provide technology selection recommendations. Experience defining solution architectures and detailed designs for: Batch ingestion and processing from sources such as files, cloud databases, and on-premises databases. Streaming solutions for real-time ingestion and processing, including log analytics, clickstream analytics, and other real-time data sources. Experience building data pipelines and CI/CD pipelines. Deep knowledge of at least one public cloud platform, preferably GCP. Tools & Technologies Google Cloud Platform (preferred); equivalent experience in other public cloud platforms is acceptable. Hands-on experience with: Dataflow Pub/Sub Cloud Composer BigQuery Cloud Run Cloud Functions Spanner Cloud Build Vertex AI Terraform Coding Expertise Strong programming skills and willingness to work hands-on as part of daily responsibilities. Proficiency in at least one of the following programming languages, preferably both: Python Java Preferred Qualifications Solution Architecture Experience with open-source ecosystems and distributions such as: Hadoop Spark Cloudera Hortonworks Understanding of and experience with NoSQL databases, including: HBase MongoDB Tools & Technologies Experience with additional public cloud platforms. Experience with open-source frameworks and ecosystems, including: Hadoop Spark Oozie Kafka HBase Certifications At least one of the following certifications: Google Cloud Professional Data Engineer (preferred). AWS Certification.