Customer Engineer, Data & Analytics Req#112 in Austin, Texas at Premier Cloud

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.

About the role

Premier Cloud - Austin, TX

Premier Cloud, a Google Cloud Premier Partner, specializes in helping SMB and Enterprise clients across North America modernize, collaborate, and innovate using Google Cloud and SaaS solutions. They offer consulting, managed services, and cloud solutions to major organizations.

• One of the fastest-growing companies in Canada, headquartered in Victoria, BC, with an office in Austin, TX.
• Certified a Great Place to Work for 6 years in a row.

Premier Cloud’s professional services include:

• Licensing and migration services for businesses wanting to implement Google Workspace.
• Data, AI, and Infrastructure solutions powered by Google Cloud.
• Consulting, training, and various professional services surrounding Google Cloud’s products.

As a Google Cloud Customer Engineer, Data & Analytics at Premier Cloud, you'll be the primary technical expert in client-facing roles, focusing on scoping, designing, and delivering data solutions on Google Cloud Platform (GCP). You will partner directly with sales as a technical subject matter expert to differentiate Google Cloud to prospective customers through technical sales partnerships.

Your goal is to turn complex challenges into scalable, high-performance data architectures that enable insights, decision-making, and innovation. You'll run technical discovery, architect client data solutions, build MVPs and POCs, demonstrate core GCP products, lead executive whiteboard sessions, and serve as a vital feedback loop between the field and Google Cloud product engineering teams.

• Partner with Sales: Act as the technical subject matter expert alongside sales teams to differentiate Google Cloud and win prospective clients.
• Architectural Discovery: Lead complex technical discovery and needs analysis to uncover customer architecture and identify underlying business and technical requirements.
• Solution Architecture: Design scalable, cost-efficient, and high-performance data architectures directly aligned with client business goals and digital transformation strategies.

• Build MVPs & POCs: Drive proof-of-concepts (POCs), prototyping, and build Minimum Viable Products (MVPs) directly in customers' environments to prove technical viability.
• Product Demonstrations: Showcase core GCP data products—including BigQuery, Dataflow, Dataproc, and Looker—through engaging, practical, and interactive demonstrations.
• Pipeline & Data Engineering: Develop, build, and deploy critical ETL/ELT pipelines, data warehouses, and data lakes to ingest, transform, and load data securely across its lifecycle.

• Executive Presence: Deliver high-impact product messaging through live presentations, interactive whiteboard sessions, and executive-level briefings to both technical and non-technical stakeholders.
• Bid Responses: Lead technical contributions for RFPs, RFIs, and detailed bid responses to secure technical wins.
• Client Consulting: Conduct client readiness assessments and provide expert guidance throughout project lifecycles.

• Field Insights & Roadmap Influence: Act as a liaison between clients and Google Cloud product engineering teams, relaying field insights and customer feedback to help influence the future GCP product roadmap.
• Best Practices: Contribute to internal best practices, knowledge sharing, and the creation of reusable solution templates for pre-sales engagements.

• Proven experience in designing, building, and deploying data solutions on Google Cloud Platform (GCP).
• Hands-on expertise with core GCP data services, including BigQuery and Dataflow.
• Experience partnering with sales teams in a pre-sales, technical consulting, or Customer Engineering capacity.
• Demonstrated ability to build POCs, MVPs, and conduct live product demonstrations in client environments.
• Strong expertise in SQL, data warehouse design, and data pipeline development.
• Excellent communication and presentation skills, with experience leading executive whiteboard sessions and delivering bid/RFP responses.

• 3+ years of experience in a Data Engineering or pre-sales Customer Engineering role.
• Experience with Looker or other modern data visualization platforms.
• Knowledge of AI/ML technologies and their practical integration into cloud data solutions.
• Active GCP Professional Data Engineer or GCP Professional Cloud Architect certifications.

• Direct Impact: Drive technical wins and shape scalable data architectures that transform how client organizations operate and innovate.
• Elite Collaboration: Work directly alongside Google Cloud teams on strategic analytics initiatives, placing you at the forefront of cloud technology.
• Product Influence: Directly bridge the gap between real-world customer needs and Google Cloud's product roadmap.
• Career Investment: Enjoy ongoing training, certification sponsorships, and opportunities to lead cutting-edge data projects.
• Culture of Trust: Thrive in a workplace certified 6 consecutive years as a Great Place to Work, supported by flexible remote options and premium equipment.

• Competitive Compensation: A package reflecting your technical expertise and sales-enabling impact.
• Growth & Development: Dedicated budget and time for continuous Google Cloud certifications and training.
• Collaboration with Google: High visibility and direct partnership with Google sales and engineering teams.
• Comprehensive Benefits: Full health coverage, paid time off, and relocation assistance (where applicable).
• Work Environment: Flexible remote work with top-tier equipment and an autonomous, trust-driven team culture.