Customer Engineer II, Data Analytics, Google Cloud

Google is a leading technology company, and they are seeking a Customer Engineer II specializing in Data Analytics. In this role, you will partner with technical sales teams to drive the adoption of Google Cloud products by providing deep technical consultation and building lasting customer relationships.

Responsibilities

• 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

Skills

• Bachelor's degree or equivalent practical experience
• 6 years of experience with cloud native architecture in a customer-facing or support role
• Experience engaging with, or presenting to, technical stakeholders or 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 (e.g., Python, Spark, SQL) to demo, prototype, or workshop with customers
• Experience in technical sales or consulting in cloud computing, data analytics, and Big Data
• 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
• Experience with architecture design, implementing, tuning, schema design, and query optimization of scalable and distributed systems
• Experience with cloud computing (e.g., infrastructure, storage, platforms, data) and the cloud market, participant dynamics, and customer buying behavior
• Experience understanding customer requirements with the ability to break down requirements and design technical architectures

Benefits

• 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 (statutory, where applicable); 5 days/event (discretionary)
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Company Overview

• A problem isn't truly solved until it's solved for all. It was founded in 1998, and is headquartered in Mountain View, California, USA, with a workforce of 10001+ employees. Its website is https://www.google.com.

Company H1B Sponsorship

• Google has a track record of offering H1B sponsorships, with 6604 in 2025, 8873 in 2024, 9685 in 2023, 11627 in 2022, 9109 in 2021, 9785 in 2020. Please note that this does not guarantee sponsorship for this specific role.