About the job

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

Our mission is to partner with GPS field teams to provide the technical expertise necessary to ensure our customers adopt Google Cloud successfully. We work to be the technologists across AI/ML, application and infrastructure modernization, networking, databases, analytics, and security.

As a Data and Analytics Customer Engineering Specialist in Google Public Sector (GPS), you'll leverage your experience and thought leadership to empower sales teams in incubating, piloting, and deploying Google Cloud's industry-leading data portfolio.

You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks. You will use your expertise and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills.

Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.

The US base salary range for this full-time position is $127,000-$184,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Partner with technical sales teams to differentiate Google Cloud to our customers.

• Serve as a technical expert responsible for accelerating technical wins and adoption of complex, specialized workloads.

• Leverage expertise in our strategic product areas, in partnership with Platform Customer Engineers, to design data foundation architectures and develop MVPs (Minimum Viable Products) to sell new, highly specialized solutions to customers.

• Solve analytics-centered customer issues and provide a critical feedback loop to unblock customers and influence product development.

• Serve as a trusted advisor and data architect for our customers and lead their data migration workloads to Google Cloud.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.

• 6 years of experience with cloud native architecture in a customer-facing or support role.

• Experience with Big Data technologies or concepts (e.g., analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, Spark, performance or scalability optimizations, batch versus streaming).

• Experience using programming languages to design demos, prototypes, or workshops for customers.

• Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools, and data governance on cloud native architectures.

Preferred qualifications

• Experience engaging with, presenting to, or influencing technical stakeholders or executive leaders.

• Experience with architecture design, implementing, tuning, schema design, and query optimization of scalable and distributed systems.

• Experience with cloud products and differentiation from competition.

• Experience in technical sales or consulting in cloud computing, data analytics, and Big Data.