Customer Engineer, Data & Analytics #120

Premier Cloud; Deutschland; Hybrid; EUR 68.000 - 93.000; Vollzeit

Benefits dieser Stelle

Growth opportunities

Google collaboration

Flexible remote work

Health coverage & PTO

Zusammenfassung

Premier Cloud is seeking a Customer Engineer, Data & Analytics to design and deliver scalable data architectures on GCP. You will bridge business challenges with high‑performance data solutions and collaborate with sales to guide enterprise cloud adoption.

The role emphasizes pre‑sales advisory, prototyping with BigQuery, Dataflow, and Dataproc, and delivering compelling technical demonstrations to developers and executives.

Qualifikationen

• Experience deploying data solutions on GCP with SQL and ETL/ELT
• Looker, visualization, or BI tooling experience preferred
• Pre-sales collaboration with sales and executive leadership
• Strong communication to translate technical concepts to non-technical audiences

Aufgaben

• 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, proofs-of-concept, and customized product demonstrations.
• Present technical cloud solutions to developers and executives.
• Optimize architectures for cost, security, and performance.

Kenntnisse

SQL

ETL/ELT

Looker

AI/ML

Communication

Pre-sales

Ausbildung

GCP Professional Data Engineer certification

Tools

BigQuery

Dataflow

Dataproc

Jobbeschreibung

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.