Lead Google Cloud Platform Data Engineer/ Architect jobs in United States
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Jobs via Dice · 8 hours ago

Lead Google Cloud Platform Data Engineer/ Architect

Dice is the leading career destination for tech experts at every stage of their careers. Our client, HMG America, is seeking a highly experienced Lead Data Engineer/ Architect with deep expertise in Google Cloud Platform to lead the design, development, and optimization of large-scale, cloud-native data platforms. The role involves technical leadership, architectural decision-making, and mentoring responsibilities.

Computer Software

Responsibilities

Lead end-to-end design and implementation of scalable data architectures on Google Cloud Platform
Architect, develop, and optimize data pipelines and data storage solutions using Dataflow, Cloud SQL, and BigQuery
Own and optimize complex SQL queries and Python-based data processing frameworks replicating data from ERP systems
Establish best practices for data modeling, ETL/ELT frameworks, and pipeline orchestration
Drive DevOps and CI/CD strategies for data platforms using Google Cloud Platform-native tools
Ensure platform reliability, data quality, security, and cost optimization
Act as a technical advisor to stakeholders, translating business requirements into scalable data solutions
Mentor and guide junior and mid-level data engineers
Conduct design reviews, performance tuning, and production issue resolution

Qualification

Google Cloud PlatformSQLPythonDataflowBigQueryCloud SQLDevOpsData governanceMetadata managementSecurity best practicesVersion control (Git)Mentoring

Required

10 15 years of overall experience in data engineering and analytics platforms
Strong hands-on expertise in SQL and Python
Extensive experience with Google Cloud Platform, including: BigQuery, Cloud SQL, Dataflow (Apache Beam)
Proven experience in Google Cloud Platform DevOps, including CI/CD pipelines, monitoring, logging, and automation
Strong understanding of distributed systems, data warehousing, and large-scale data processing
Experience designing and operating high-volume, high-availability data platforms
Hands-on experience with version control systems (Git)

Preferred

Experience with real-time/streaming architecture replicating data from legacy ERP systems
Knowledge of data governance, metadata management, and security best practices
Google Cloud Platform certifications (Professional Data Engineer / Cloud Architect)
Experience working in large enterprise environments (Supply Chain knowledge a plus)

Company

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