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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Customer Engineer, Data & Analytics Req#112 - **Company:** Cloud Prime - **Location:** Austin, TX, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, BigQuery, Cloud Computing, Cloud Database, Information Engineering, Extract Transform Load (ETL), Data Systems, Data Warehousing, Data Flow Control, Machine Learning, Cloudera, SQL Databases, Google Cloud, Data Lakes, Data Analytics, Looker Analytics, Data Pipelines - **Published:** August 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=62cda4b6604958cf ## About the Role * 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. ## Description 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. POCs, Prototyping & Technical Demonstrations * 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 Presentation & Presales Strategy * 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. Product Engineering Liaison * 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Making Data Warehouses fast. 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