Customer Engineer, Data Analytics, Google Cloud

Google Cloud is seeking a Customer Engineer specializing in Data Analytics to join their growing team. This role combines technical expertise in data analytics with customer-facing responsibilities, making it an ideal position for experienced professionals who excel in both technical and communication aspects.

The position offers a competitive compensation package ranging from $142,000 to $214,000, plus bonus, equity, and comprehensive benefits. As a Customer Engineer, you'll be at the forefront of helping organizations leverage Google Cloud's data analytics capabilities, working with a diverse portfolio of clients across various industries in 200+ countries.

Your primary responsibilities will include architecting data solutions, conducting technical discovery, and serving as a subject matter expert in data analytics. You'll work closely with technical sales teams to demonstrate the value of Google Cloud's solutions, engage in proof-of-concept work, and help customers overcome technical challenges related to database migrations and data lifecycle management.

The ideal candidate will bring 10 years of experience in cloud native architecture, strong expertise in Big Data technologies, and a proven track record of engaging with technical stakeholders and executive leaders. You'll need to be well-versed in data warehousing, data lakes, batch/real-time processing, and distributed systems architecture.

This role offers the flexibility of hybrid work arrangements across multiple locations, including major tech hubs like Chicago, Austin, and New York City. You'll be part of Google's innovative culture, working on cutting-edge cloud technologies while helping organizations digitally transform their businesses.

The position provides an excellent opportunity to impact how organizations utilize data analytics in the cloud while working for one of the world's leading technology companies. You'll have the chance to contribute to significant projects, collaborate with talented colleagues, and help shape the future of cloud computing and data analytics.