Customer Engineer, Data & Analytics Req#112

Premier Cloud is a Google Cloud Premier Partner dedicated to helping organizations modernize, collaborate, and scale through the power of cloud technology. As a Customer Engineer, Data & Analytics, you will be the technical expert in client-facing roles, focusing on scoping, designing, and delivering data solutions on Google Cloud Platform (GCP). You will work closely with clients and internal teams to create scalable data architectures that drive insights and innovation.

Responsibilities:

• Lead complex technical discovery and needs analysis with clients and sales teams to deeply understand and solve their unique data challenges and goals
• Design and implement scalable, high-performance data solutions on GCP, directly influencing client success and transformation
• Develop, build, and deploy critical data pipelines, data warehouses, and data lakes using core GCP services (BigQuery, Dataflow, Dataproc, etc.)
• Leverage your expertise to optimize data architectures for cost-efficiency and maximum performance
• Build and maintain ETL/ELT pipelines to ingest, transform, and load data from various sources
• Ensure data quality, integrity, and security throughout the data lifecycle
• Work with cloud architects and developers to integrate data solutions into end-to-end client applications
• Conduct client readiness assessments to leverage Google Cloud for data analysis
• Provide expert technical guidance and consulting support to clients throughout project lifecycles
• Contribute to the development of internal best practices, knowledge sharing, and reusable solution templates for presales use

Requirements:

• Proven experience in designing, building, and deploying data solutions on GCP
• Strong expertise in SQL, data warehouse design, and data pipeline development
• Understanding of cloud architecture principles and best practices
• Excellent written and verbal communication skills, including the ability to explain technical concepts to non-technical stakeholders
• 3+ years of experience in a data engineering role
• Experience with Looker or other data visualization tools
• Knowledge of AI/ML technologies and their application in data solutions
• Professional Data Engineer or other relevant GCP certifications