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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, Data Analysis, BigQuery, Cloud Computing, Cloud Engineering, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Systems, Data Visualization, Data Warehousing, Data Flow Control, Machine Learning, Cloudera, SQL Databases, Google Cloud, Data Lakes, Data Analytics, Looker Analytics, Data Pipelines - **Published:** June 15, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=f87fdafc653217b1 ## About the Role Do you have experience in Solution architecture design?, + Proven experience in designing, building, and deploying data solutions on GCP. + Strong expertise in SQL, data warehouse design, and data pipeline development. + Understanding of cloud architecture principles and best practices. + Excellent written and verbal communication skills, including the ability to explain technical concepts to non-technical stakeholders, + 3+ years of experience in a data engineering role. + Experience with Looker or other data visualization tools. + Knowledge of AI/ML technologies and their application in data solutions. + Professional Data Engineer or other relevant GCP certifications. ## Description As a Google Cloud Customer Engineer, Data & Analytics at Premier Cloud, you'll be the technical expert in client-facing roles, focusing on scoping, designing, and delivering data solutions on Google Cloud Platform (GCP). You'll work with technical teams to showcase Google Cloud's benefits and help clients leverage GCP for their data needs. Your goal is to turn complex challenges into scalable, high-performance data architectures that enable insights, decision-making, and innovation. You'll explain technical features, assist with architectural design, and resolve issues for prospective customers. Collaborating with clients, cloud architects, and sales teams, you'll deliver solutions aligned with business goals. Google Cloud enables organizations to digitally transform using advanced technology and tools for sustainable growth. Responsibilities Solution Delivery & Client Partnership * Lead complex technical discovery and needs analysis with clients and sales teams to deeply understand and solve their unique data challenges and goals. * Design and implement scalable, high-performance data solutions on GCP, directly influencing client success and transformation. * Develop, build, and deploy critical data pipelines, data warehouses, and data lakes using core GCP services (BigQuery, Dataflow, Dataproc, etc.). * Leverage your expertise to optimize data architectures for cost-efficiency and maximum performance. Data Engineering & Implementation * Build and maintain ETL/ELT pipelines to ingest, transform, and load data from various sources. * Ensure data quality, integrity, and security throughout the data lifecycle. * Work with cloud architects and developers to integrate data solutions into end-to-end client applications. Client Success & Consulting * Conduct client readiness assessments to leverage Google Cloud for data analysis. * Provide expert technical guidance and consulting support to clients throughout project lifecycles. * Contribute to the development of internal best practices, knowledge sharing, and reusable solution templates for presales use., Join a Great Place to Work (certified for 6 consecutive years) where your expertise is valued and actively developed. * Direct Impact: You will be pivotal in turning complex client challenges into scalable, high-performance data architectures that drive business insights and innovation. * Elite Collaboration: Work directly with Google teams on strategic analytics initiatives, positioning yourself at the forefront of cloud innovation. * Career Investment: We invest heavily in your growth, offering ongoing training, certifications, and opportunities to lead cutting-edge Google Cloud projects. * Culture of Trust: Thrive in a culture of trust and autonomy, supported by flexible remote work options and premium equipment. ## 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) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [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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