Customer Engineer, Data/Analytics, Google Public Sector

Google; Washington (District of Columbia); On-site; USD 152,000 - 222,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Paid time off

Sick time

Maternity leave

Baby bonding leave

Paid holidays

Job summary

Google Cloud is seeking a Practice Customer Engineer with a Data Analytics specialty to accelerate technical wins for complex workloads. You will partner with technical sales teams to differentiate Google Cloud to customers and design data foundation architectures and MVPs to sell highly specialized solutions.

This role serves US public sector customers, including education and government, helping them transform with data analytics.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing role.
• Experience engaging with technical stakeholders and executive leaders.
• Experience with Big Data technologies (analytics warehousing, data processing, data governance, SQL, Spark).
• Experience using programming languages to design demos or workshops for customers.
• Experience with data warehousing, data lakes, streaming and governance on cloud native architectures.

Responsibilities

• Drive the technical win for complex workloads within data analytics to ensure rapid adoption.
• Combine business strategies and prototyping to provide customer-tailored solutions.
• Provide deep technical consultation to customers as a technical advisor.
• Leverage learnings to contribute to reusable solutions with the Go-To-Market team.
• Provide feedback to product and engineering to improve architectures and document requests.

Skills

Cloud architecture

Stakeholder engagement

Big Data

Data warehousing

Prototyping demos

SQL Spark

Education

Bachelor's degree

Job description

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

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Reston, VA, USA; Atlanta, GA, USA; Washington D.C., DC, USA

Minimum qualifications

• 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.

Preferred qualifications

• 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.

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.

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 minimum viable products (MVPs) 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: $152000 - $222000 (USD) + 42.86% bonus target + equity + benefits

Responsibilities

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 identification, technical evaluation, and through customer ramp.
• Combine business strategies and direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.
• Provide deep technical consultation to customers, acting as a technical advisor and building lasting customer relationships.
• Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-To-Market team.
• Provide critical feedback from customer engagements to product and engineering teams to improve architectures and solutions. Work within product and engineering management systems to document, prioritize and drive resolution of customer feature requests and issues.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.