Lead Data Engineer

Lead Data Engineer

Location: Phoenix, Arizona, USA | Type: Full-Time (W2, 1099, C2C) | Experience: 10 to 12 years

About the Opportunity

This role offers the chance to lead enterprise-scale data initiatives on Google Cloud Platform, driving both real-time and batch processing solutions that power modern AI and analytics capabilities.

Why Join Us?

• Work on cutting-edge data platforms that support AI and GenAI initiatives
• Collaborate with cross-functional teams in a dynamic technical environment
• Opportunity to shape enterprise data strategy and architecture decisions
• Competitive compensation aligned with experience and market rates

Key Responsibilities

• Provide technical leadership for enterprise data platform initiatives
• Design and implement real-time and batch data processing pipelines using GCP services
• Manage and optimize Bigtable, Dataproc, Pub/Sub, and Composer environments
• Develop Python-based data solutions and automation scripts
• Support AI/GenAI initiatives through scalable data infrastructure

Qualifications

• 12+ years of experience in data engineering with demonstrated technical leadership
• Strong expertise in Google Cloud Platform including Bigtable, Dataproc, Pub/Sub, and Composer
• Proficiency in Python development for data processing applications
• Experience with real-time and batch data processing environments
• Familiarity with supporting AI and GenAI initiatives is highly valued
• Knowledge of complementary technologies such as Hadoop, HBase, Kafka, Redis, and Elasticsearch

Ready to Apply?

We welcome qualified candidates ready to contribute to enterprise data excellence. Please reach out with your resume and relevant experience details.

Contact: Show email

Phone: View phone number on product.excelhire.com

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