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GCP Lead Engineer

United States, Phoenix Contract work · Job Posted June 15, 2026
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Job Description

We are seeking a Lead GCP Engineer to provide technical leadership for enterprise real-time data platforms and cloud modernization initiatives. This role will be responsible for leading the design, optimization, and evolution of large-scale data processing environments while driving adoption of modern cloud-native technologies within Google Cloud Platform (GCP). The ideal candidate has deep expertise in real-time and batch data processing architectures, strong leadership experience, and a proven track record supporting enterprise-scale data platforms. This individual will serve as a technical leader for both platform engineering efforts and the broader data engineering team, helping advance cloud capabilities and support future AI and analytics initiatives.

Job Responsibility

  • Lead the design, implementation, and optimization of enterprise real-time and batch data platforms
  • Provide technical leadership and mentorship to data engineering teams supporting large-scale data ecosystems
  • Drive modernization efforts leveraging Google Cloud Platform (GCP) technologies
  • Design and support scalable data pipelines for ingestion, processing, storage, and analytics
  • Collaborate with architecture, infrastructure, security, and analytics teams to deliver enterprise data solutions
  • Support and optimize distributed data platforms including streaming, search, caching, and data processing technologies
  • Develop automation, monitoring, and operational processes to improve platform reliability and performance
  • Partner with stakeholders to define platform roadmaps and future-state architecture strategies
  • Evaluate emerging technologies and support AI, machine learning, and GenAI-related initiatives
  • Establish engineering best practices for scalability, performance, security, and operational excellence

Requirements

  • 10+ years of experience in data engineering, platform engineering, or big data environments
  • 8+ years of experience leading teams supporting enterprise-scale batch and real-time data platforms
  • Strong hands-on experience with: Hadoop, HBase, Kafka, Redis, Elasticsearch, MapRDB or similar distributed data platforms
  • 3+ years of experience with Google Cloud Platform (GCP), including: Bigtable, Dataproc, Pub/Sub, Composer
  • Strong Python development experience
  • Experience designing and supporting large-scale distributed systems and real-time data architectures
  • Proven ability to lead technical initiatives and mentor engineering teams
  • Strong analytical, troubleshooting, and communication skills

Nice to have

  • Experience supporting AI, machine learning, or Generative AI initiatives
  • GenAI certifications or related technical training
  • Experience with enterprise observability and monitoring platforms, including ELK Stack
  • Familiarity with cloud-native architecture and platform engineering best practices
  • Experience supporting highly available, mission-critical production environments
  • Knowledge of infrastructure automation and DevOps methodologies
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