Customer Engineer, Data & Analytics #120

Résumé du poste

You will act as a technical expert for client-facing engagements, designing and delivering scalable data architectures on the Google Cloud Platform. The role involves collaborating with sales teams to guide enterprise clients through cloud adoption and managing technical discovery and proof-of-concept initiatives.

Détails du poste

Join us as a Customer Engineer, Data & Analytics Premier Cloud - Victoria, BC Salary Range: $110,000 – $150,000 CAD per year. Actual base salary is based on individual qualifications, experience, and expertise. Total compensation includes performance-based bonuses alongside a comprehensive benefits package. About Premier Cloud As a Google Cloud Premier Partner, Premier Cloud helps SMB and Enterprise clients across North America modernize and innovate through cloud-native solutions, specialized consulting, and managed services. Recognized as one of Canada’s fastest-growing companies with offices in Victoria, BC, and Austin, TX. Certified as a "Great Place to Work" for six consecutive years. Expertise spans Google Workspace migrations, AI/Data infrastructure, and strategic cloud consulting. Role & Core Responsibilities You will act as the technical expert for client-facing engagements, designing and delivering scalable data architectures on the Google Cloud Platform (GCP). Your role will involve bridging the gap between complex business challenges and high-performance solutions that drive innovation and decision-making. This position is a technical pre-sales and advisory role in which you will collaborate with sales teams to guide enterprise clients through the cloud adoption process. In this role, you will design data architectures, build custom technical prototypes, and advocate for products such as BigQuery, Dataflow, and Dataproc. Lead technical discovery and needs assessments to solve complex data challenges. Design and deploy scalable data pipelines, warehouses, and lakes using BigQuery, Dataflow, and Dataproc. Manage RFPs, proof-of-concept initiatives, and customized product demonstrations. Present technical cloud solutions to both developers and executive stakeholders. Optimize architectures for cost-efficiency, security, and maximum performance. Key Qualifications Proven experience deploying data solutions on GCP with strong SQL and ETL/ELT skills. GCP Professional Data Engineer or equivalent certification is highly preferred. 3+ years of experience in data engineering, visualization (Looker), or AI/ML technologies. Excellent communication skills with the ability to translate technical concepts for non-technical audiences. Demonstrated pre-sales background collaborating with sales teams and external executive leadership. Benefits Growth: Ongoing investment in training and certifications for elite Google Cloud projects. Collaboration: Direct engagement with Google teams on strategic analytics initiatives. Culture: A trust-based environment with flexible remote work options and premium equipment. Security: Comprehensive health coverage, competitive compensation, and paid time off.

Ce que vous ferez

You will act as a technical expert for client-facing engagements, designing and delivering scalable data architectures on the Google Cloud Platform. The role involves collaborating with sales teams to guide enterprise clients through cloud adoption and managing technical discovery and proof-of-concept initiatives.

Exigences

Candidates must have at least 3 years of experience in data engineering, visualization, or AI/ML technologies with strong SQL and ETL/ELT skills. A GCP Professional Data Engineer certification is highly preferred, along with a demonstrated background in pre-sales and technical advisory.

Avantages

• Performance-based bonuses • Comprehensive health coverage • Paid time off • Flexible remote work options • Premium equipment • Ongoing investment in training and certifications

Compétences indiquées

• Visualisation de données · Souhaitée
• SQL · Souhaitée
• Communication Skills · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Google Cloud Platform
• Data Engineering
• SQL
• ETL/ELT
• BigQuery
• Dataflow
• Dataproc
• Looker
• AI/ML
• Cloud Architecture
• Technical Pre-sales
• Data Visualization
• Cloud Consulting
• Communication Skills
• Cloud-Native Computing
• Google Cloud Dataproc
• Time Off Management
• Google Cloud Platform (GCP)
• Advocacy
• Needs Assessment
• Artificial Intelligence
• Google BigQuery
• Decision Making
• Communication
• Consulting
• Data Infrastructure
• Extract Transform Load (ETL)
• Sales
• Warehousing
• Leadership
• Scalability
• Innovation
• Machine Learning
• Managed Services
• Product Demonstration
• Request For Proposal
• SQL (Programming Language)
• Google Workspace
• Looker Analytics
• Data Pipelines

Domaines d’emploi

• Data & Analytics
• Technology
• Consulting
• Engineering
• Sales
• Data Analytics Manager
• Data Analyst
• Statistical, Mathematical and Related Associate Professionals
• Business Intelligence Analysts
• Data Scientists