Data & AI Engineer

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Description

Dark Wolf is seeking a Data & AI Engineer specializing in Google Cloud Platform to architect, deploy, and scale advanced data, machine learning (ML) and generative artificial intelligence (AI) workflows in secure cloud environments. In this role, you will be responsible for leading the architectural development, scaling, and governance of enterprise-grade data platforms. In this role you will leverage GCP’s AI and data ecosystem to transform complex unstructured data into production-ready assets for agentic search, graph-based entity resolution, and multi-modal AI systems. In addition, the ideal candidate will be responsible for designing secure, mission-relevant data meshes, establishing automated data quality frameworks, optimizing distributed compute clusters, and ensuring high resilience across air-gapped and multi-cloud networks. Responsibilities Lead the architectural design and implementation of cloud-native distributed, high-throughput batch and streaming data platforms. Optimize distributed execution engines to handle petabyte-scale datasets under strict SLAs. Implement and collaborate on Infrastructure as Code (IaC) to provision data platform assets across multi-cloud infrastructure. Establish zero-trust security controls, data lineage tools, and automated compliance scanning for regulated data environments. Design and manage ETL/ELT pipelines using cloud-native, Google services such as Cloud Storage, Dataflow, Cloud Run, Agent Platform, and BigQuery Understand big

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