Customer Engineer, Data​/Analytics, Public Sector

Customer Engineer, Data/Analytics, Google Public Sector

Location:

Reston, VA, USA;
Atlanta, GA, USA;
Austin, TX, USA;
Boulder, CO, USA;
Sunnyvale, CA, USA;
Washington D.C., DC, USA.

Must be a US Citizen to meet customer and compliance requirements, including potential access to classified information.

The application window will be open until at least June 25, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.
• 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, data migrations, data visualization tools, and data governance on cloud native architectures.

• Experience working with customers in the Public Sector industry.
• Experience in technical sales or consulting in cloud computing, data analytics, or Big Data.
• Experience with architecture design, implementing, tuning, schema design and query optimization of scalable and distributed systems.
• Experience with aspects of cloud computing (infrastructure, storage, platforms and data), as well as the cloud market, competitive dynamics and customer buying behavior.
• Experience in understanding customer requirements with the ability to break down requirements and design technical architectures.

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.

As a Practice Customer Engineer (CE) with a specialty in Data Analytics, you will partner with technical sales teams to differentiate Google Cloud to our customers. You will serve as a technical expert responsible for accelerating technical wins and adoption of complex, specialized workloads. You will leverage your deep expertise in our most strategic product areas, in partnership with Platform CEs, to design data foundation architectures and develop MVPs (Minimum Viable Products) to sell new, highly specialized solutions to customers.

You will solve analytics‑centered customer challenges and provide a critical feedback loop to unblock customers and influence product development.

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.

Individual pay is determined by factors including job‑related skills, experience, and relevant education or training.

US: $152,000 - $222,000 (USD) + 42.86% bonus target + bonus + equity + benefits.

Learn more about benefits at Google.

• Drive the technical win for complex workloads within data analytics to ensure rapid and successful adoption, primarily supporting the business cycle from use case…