GCP Lead Engineer
About The Position
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.
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 Haves
- 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
Responsibilities
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
