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Customer Engineer, Data & Analytics #120

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Customer Engineer, Data & Analytics #120

Premier Cloud Inc.

Customer Engineer, Data & Analytics #120

Skills

Google Cloud PlatformSQL QueriesLookerData EngineeringGoogle BigQueryData AnalysisMachine LearningAIGoogle Analytics

4 days ago

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Important information


Contract type:

Permanent

Location:

Victoria, BC, Canada

Work mode:

Remote

Published on:

16 October 2026

What they need


About Premier Cloud Premier Cloud is a Google Cloud Premier Partner dedicated to helping organizations modernize, collaborate, and scale through the power of cloud technology. Founded in 2001, we deliver cloud consulting, managed services, and tailored solutions to SMB and enterprise clients across North America.

As one of Canada’s fastest-growing companies, we help businesses unlock the full potential of Google Cloud, along with leading SaaS platforms like JumpCloud, Lumin, and Virtru. Our team is driven by innovation, technical excellence, and a shared commitment to delivering measurable impact for our clients.

At Premier Cloud, we take pride in maintaining a collaborative, light-hearted culture that values creativity, growth, and inclusion. Year after year, we’re recognized as a Great Place to Work-Certified™ organization and featured among the Best Workplaces in Technology.

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.

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