📍 Job Overview

Job Title: Customer Engineer, Data Analytics, Google Cloud
Company: Google
Location: Colombia
Job Type: On-site
Category: Technical Sales & Consulting
Date Posted: 2025-07-30
Experience Level: Mid-Senior level (5-10 years)
Remote Status: Remote OK (United States)

🚀 Role Summary

Data Analytics Subject Matter Expert: Differentiate Google Cloud to customers by providing creative cloud solutions and architectures to solve their business challenges.
Technical Sales Partner: Collaborate with sales teams to understand customer requirements, engage in proofs-of-concepts, and troubleshoot technical roadblocks related to the data life-cycle.
Cloud Computing Advocate: Share in-depth data analytics expertise to support the technical relationship with customers, including technology advocacy, product and solution briefings, and partnering with product management.
Solution Architect: Identify business and technical requirements, conduct full technical discovery, and architect client solutions to meet gathered requirements.

📝 Enhancement Note: This role requires a strong balance of technical depth in data analytics and cloud computing, as well as exceptional communication and presentation skills to engage with customers and partners effectively.

💻 Primary Responsibilities

Opportunity Identification & Qualification: Work with the team to identify and qualify business opportunities related to data analytics, understand key customer objections, and develop strategies to resolve technical blockers.
Technical Expertise Sharing: Share in-depth data analytics expertise to support the technical relationship with customers, including technology advocacy, bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management.
Solution Architecture: Identify business and technical requirements, conduct full technical discovery, and architect client solutions to meet gathered requirements.
Product Demonstration & Integration: Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
Sales Messaging & Presentation: Prepare and deliver sales messaging to highlight the Google Cloud value proposition using various techniques such as whiteboard and slide presentations, product demonstrations, white papers, and RFI responses.

📝 Enhancement Note: This role involves a high degree of customer interaction, requiring strong presentation skills and the ability to understand and address customer needs effectively.

🎓 Skills & Qualifications

Education: Bachelor's degree or equivalent practical experience in Computer Science, Data Science, or a related field.

Experience: 4+ years of experience with cloud native architecture in a customer-facing or support role, with a focus on data analytics, Big Data technologies, and technical sales or consulting in cloud computing.

Required Skills:

Proven expertise in cloud native architecture and data analytics.
Strong experience with Big Data technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations, or batch versus streaming.
Experience with architecture design, implementing, tuning, schema design, and query optimization of scalable and distributed systems.
Excellent communication and presentation skills, with the ability to understand and address customer requirements effectively.
Strong problem-solving skills and the ability to work collaboratively with cross-functional teams.

Preferred Skills:

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 in understanding customer requirements and designing technical architectures.
Experience with aspects of cloud computing (infrastructure, storage, platforms, and data), as well as the cloud market, competitive dynamics, and customer buying behavior.

📝 Enhancement Note: While the role requires a strong technical background in data analytics and cloud computing, the preferred skills section highlights the importance of understanding customer requirements and designing technical architectures, as well as having a solid grasp of the cloud market and competitive dynamics.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

A well-structured portfolio demonstrating your expertise in data analytics, cloud computing, and technical sales or consulting.
Case studies showcasing your ability to understand customer requirements, design technical architectures, and implement scalable and distributed systems.
Examples of your problem-solving skills and ability to optimize performance and scalability in cloud environments.

Technical Documentation:

Detailed technical documentation outlining your approach to data analytics, cloud computing, and technical sales or consulting projects.
Code samples and explanations demonstrating your proficiency in Big Data technologies, ETL/ELT processes, SQL/NoSQL databases, and data governance.
Documentation of your experience with cloud native architecture, including architecture design, implementation, tuning, schema design, and query optimization.

📝 Enhancement Note: As this role involves a high degree of customer interaction and technical problem-solving, it is essential to provide comprehensive and well-structured portfolio examples that demonstrate your ability to understand and address customer needs effectively.

💵 Compensation & Benefits

Salary Range: The US base salary range for this full-time position is $102,000-$146,000 + 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.

Benefits:

Bonus
Equity
Benefits (including health, dental, and vision insurance, 401(k) matching, and other perks)

Working Hours: Full-time position with a standard workweek of 40 hours, with flexibility for project deadlines and maintenance windows.

📝 Enhancement Note: The provided salary range is based on the US market and may vary depending on the location and individual qualifications. The benefits package is comprehensive and includes health insurance, retirement plans, and other perks.

🎯 Team & Company Context

🏢 Company Culture

Industry: Google operates in the technology industry, with a focus on cloud computing, data analytics, and artificial intelligence. This role will involve working with customers and partners across various industries to understand their data analytics needs and provide tailored solutions using Google Cloud products.

Company Size: Google is a large multinational technology company with over 135,000 employees worldwide. This size provides ample opportunities for career growth and collaboration with diverse teams.

Founded: Google was founded in 1998 by Larry Page and Sergey Brin, with the mission to "organize the world's information and make it universally accessible and useful." The company has since grown to become a global leader in technology, offering a wide range of products and services, including search, advertising, cloud computing, and artificial intelligence.

Team Structure:

The Customer Engineering team works closely with sales teams to provide technical expertise and support to customers and partners.
The team is structured to include subject matter experts in various domains, such as data analytics, machine learning, and infrastructure.
The role will involve collaborating with cross-functional teams, including product management, engineering, and marketing, to stay on top of industry trends and devise enhancements to Google Cloud products.

Development Methodology:

Google Cloud follows Agile development methodologies, with a focus on iterative development, continuous integration, and customer feedback.
The role will involve working with customers to understand their requirements, conducting technical discovery, and architecting solutions that meet their needs.
The development process will include code reviews, testing, and quality assurance practices to ensure the delivery of high-quality solutions.

Company Website: Google Cloud

📝 Enhancement Note: Google's company culture is characterized by a focus on innovation, collaboration, and customer-centricity. The role will involve working with diverse teams and customers to understand their needs and provide tailored solutions using Google Cloud products.

📈 Career & Growth Analysis

Web Technology Career Level: This role is at the senior level, requiring a high degree of technical expertise in data analytics and cloud computing, as well as strong communication and presentation skills. The role involves working with customers to understand their requirements and provide tailored solutions, as well as collaborating with cross-functional teams to stay on top of industry trends and devise enhancements to Google Cloud products.

Reporting Structure: The role reports directly to the Customer Engineering manager, with a dotted line to the sales team. The role will involve working closely with sales teams to provide technical expertise and support to customers and partners.

Technical Impact: The role involves working with customers to understand their data analytics needs and provide tailored solutions using Google Cloud products. The role will have a significant impact on customer satisfaction and the adoption of Google Cloud products in the data analytics domain.

Growth Opportunities:

Technical Specialization: Deepen your expertise in data analytics, cloud computing, and technical sales or consulting by working on complex projects and engaging with diverse customers and partners.
Leadership Development: Develop your leadership skills by mentoring junior team members, driving technical initiatives, and contributing to the overall success of the Customer Engineering team.
Career Progression: Progress to more senior roles within the Customer Engineering team, or explore opportunities in other areas of Google, such as product management, engineering, or sales.

📝 Enhancement Note: This role offers significant opportunities for career growth and development, both within the Customer Engineering team and across other areas of Google. The role requires a strong balance of technical depth and communication skills, as well as the ability to work collaboratively with cross-functional teams to drive customer success.

🌐 Work Environment

Office Type: Google's offices are designed to foster collaboration and innovation, with open workspaces, meeting rooms, and recreational areas. The role will involve working on-site in Google's Colombia office, with the opportunity to work remotely for specific projects or customer engagements.

Office Location(s): Google's Colombia office is located in Bogotá, with additional offices in other major cities across the country.

Workspace Context:

Collaborative Workspace: The role will involve working closely with sales teams and other Customer Engineering team members to provide technical expertise and support to customers and partners.
Technical Tools & Equipment: The role will require access to Google's internal tools and systems, as well as customer-specific tools and environments.
Cross-Functional Collaboration: The role will involve working with various teams, including product management, engineering, and marketing, to stay on top of industry trends and devise enhancements to Google Cloud products.

Work Schedule: The role requires a standard workweek of 40 hours, with flexibility for project deadlines and maintenance windows. The role may require occasional travel to customer sites or other Google offices for meetings, training, or customer engagements.

📝 Enhancement Note: Google's work environment is designed to foster collaboration and innovation, with a focus on providing employees with the tools and resources they need to succeed. The role will involve working closely with diverse teams and customers to understand their needs and provide tailored solutions using Google Cloud products.

📄 Application & Technical Interview Process

Interview Process:

Technical Phone Screen (60 minutes): A technical phone screen to assess your understanding of data analytics, cloud computing, and technical sales or consulting concepts. This may include questions on architecture design, data migrations, ETL/ELT processes, and performance optimization.
On-site Interview (3-4 hours): An on-site interview to assess your technical skills, communication and presentation skills, and cultural fit. This may include a technical presentation, customer scenario discussions, and architecture design exercises.
Final Review (30-60 minutes): A final review to discuss your application, answer any remaining questions, and make a hiring decision.

Portfolio Review Tips:

Portfolio Structure: Organize your portfolio to showcase your expertise in data analytics, cloud computing, and technical sales or consulting. Include case studies that demonstrate your ability to understand customer requirements, design technical architectures, and implement scalable and distributed systems.
Technical Documentation: Include detailed technical documentation outlining your approach to data analytics, cloud computing, and technical sales or consulting projects. Highlight your experience with Big Data technologies, ETL/ELT processes, SQL/NoSQL databases, and data governance.
Customer Success Stories: Include examples of your ability to understand customer requirements and provide tailored solutions using Google Cloud products. Highlight any customer feedback or success metrics that demonstrate the impact of your work.

Technical Challenge Preparation:

Technical Deep Dive (60 minutes): A deep dive into a specific technical topic, such as architecture design, data migrations, ETL/ELT processes, or performance optimization. Be prepared to discuss your approach to solving complex technical problems and optimizing cloud environments.
Customer Scenario Discussion (60 minutes): A discussion on a hypothetical customer scenario, focusing on your ability to understand customer requirements, design technical architectures, and provide tailored solutions using Google Cloud products.
Presentation Skills (30 minutes): A presentation on a technical topic or customer scenario, focusing on your ability to communicate complex ideas clearly and effectively.

ATS Keywords: [See the comprehensive list of web development and server administration-relevant keywords for resume optimization, organized by category: programming languages, web frameworks, server technologies, databases, tools, methodologies, soft skills, industry terms]

📝 Enhancement Note: The interview process for this role is designed to assess your technical expertise in data analytics and cloud computing, as well as your communication and presentation skills. The role requires a strong balance of technical depth and customer-centricity, with a focus on understanding customer requirements and providing tailored solutions using Google Cloud products.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: Not applicable, as this role focuses on data analytics and cloud computing.

Backend & Server Technologies:

Cloud Platforms: Google Cloud Platform (GCP) is the primary cloud platform used in this role, with a focus on data analytics, machine learning, and infrastructure services.
Data Analytics Tools: BigQuery, Cloud Dataflow, Cloud Pub/Sub, Cloud Data Fusion, and other GCP data analytics tools are used to process, transform, and analyze large datasets.
Database Technologies: Cloud Spanner, Cloud SQL, Firestore, and other GCP database technologies are used to store, manage, and query data.
Infrastructure Tools: Cloud Functions, Cloud Run, and other GCP serverless and containerization technologies are used to build, deploy, and manage scalable and distributed systems.

Development & DevOps Tools:

Version Control: Git is used for version control and collaborative development.
CI/CD Pipelines: Cloud Build, Cloud Source Repositories, and other GCP CI/CD tools are used to automate the build, test, and deployment processes.
Monitoring & Logging: Cloud Monitoring, Cloud Logging, and other GCP monitoring and logging tools are used to monitor the performance and health of cloud environments.

📝 Enhancement Note: This role requires a strong understanding of Google Cloud Platform (GCP) and its data analytics, machine learning, and infrastructure services. Familiarity with other cloud platforms, such as AWS or Azure, may also be beneficial.

👥 Team Culture & Values

Web Development Values:

Customer-Centric: Focus on understanding customer requirements and providing tailored solutions using Google Cloud products.
Technical Excellence: Demonstrate a strong understanding of data analytics, cloud computing, and technical sales or consulting concepts.
Collaboration: Work closely with sales teams and other Customer Engineering team members to provide technical expertise and support to customers and partners.
Innovation: Stay on top of industry trends and devise enhancements to Google Cloud products to meet customer needs.

Collaboration Style:

Cross-Functional Collaboration: Work with various teams, including product management, engineering, and marketing, to stay on top of industry trends and devise enhancements to Google Cloud products.
Technical Mentoring: Share your expertise in data analytics, cloud computing, and technical sales or consulting with junior team members and customers.
Knowledge Sharing: Contribute to the overall success of the Customer Engineering team by sharing your knowledge and experience with data analytics, cloud computing, and technical sales or consulting.

📝 Enhancement Note: Google's team culture is characterized by a focus on collaboration, innovation, and customer-centricity. The role will involve working closely with diverse teams and customers to understand their needs and provide tailored solutions using Google Cloud products.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Data Analytics at Scale: Design and implement scalable and distributed data analytics solutions using Google Cloud products to process, transform, and analyze large datasets.
Data Migration & Integration: Develop and execute data migration and integration strategies to move data from on-premises or other cloud environments to Google Cloud Platform (GCP).
Performance Optimization: Optimize the performance and scalability of cloud environments by leveraging GCP infrastructure services, such as BigQuery, Cloud Spanner, and Cloud Functions.
Data Governance & Security: Implement data governance and security best practices to protect sensitive data and ensure compliance with relevant regulations and standards.

Learning & Development Opportunities:

Technical Specialization: Deepen your expertise in data analytics, cloud computing, and technical sales or consulting by working on complex projects and engaging with diverse customers and partners.
Leadership Development: Develop your leadership skills by mentoring junior team members, driving technical initiatives, and contributing to the overall success of the Customer Engineering team.
Career Progression: Progress to more senior roles within the Customer Engineering team, or explore opportunities in other areas of Google, such as product management, engineering, or sales.

📝 Enhancement Note: This role offers significant opportunities for technical growth and development, both within the Customer Engineering team and across other areas of Google. The role requires a strong balance of technical depth and customer-centricity, with a focus on understanding customer requirements and providing tailored solutions using Google Cloud products.

💡 Interview Preparation

Technical Questions:

Data Analytics Fundamentals: Be prepared to discuss your understanding of data analytics concepts, such as data warehousing, data lakes, ETL/ELT processes, data governance, and data migrations.
Cloud Computing Architecture: Demonstrate your understanding of cloud computing architecture, including infrastructure, storage, platforms, and data services.
Performance Optimization: Showcase your ability to optimize the performance and scalability of cloud environments using GCP infrastructure services, such as BigQuery, Cloud Spanner, and Cloud Functions.

Company & Culture Questions:

Google Cloud Products: Demonstrate your familiarity with Google Cloud products and their features and benefits.
Customer-Centric Mindset: Explain how you approach understanding customer requirements and providing tailored solutions using Google Cloud products.
Collaboration & Teamwork: Share examples of your ability to work effectively with cross-functional teams and customers to drive success.

Portfolio Presentation Strategy:

Portfolio Structure: Organize your portfolio to showcase your expertise in data analytics, cloud computing, and technical sales or consulting. Include case studies that demonstrate your ability to understand customer requirements, design technical architectures, and implement scalable and distributed systems.
Technical Documentation: Include detailed technical documentation outlining your approach to data analytics, cloud computing, and technical sales or consulting projects. Highlight your experience with Big Data technologies, ETL/ELT processes, SQL/NoSQL databases, and data governance.
Customer Success Stories: Include examples of your ability to understand customer requirements and provide tailored solutions using Google Cloud products. Highlight any customer feedback or success metrics that demonstrate the impact of your work.

📝 Enhancement Note: The interview process for this role is designed to assess your technical expertise in data analytics and cloud computing, as well as your communication and presentation skills. The role requires a strong balance of technical depth and customer-centricity, with a focus on understanding customer requirements and providing tailored solutions using Google Cloud products.

📌 Application Steps

To apply for this Customer Engineer, Data Analytics, Google Cloud position:

Resume Optimization: Tailor your resume to highlight your technical expertise in data analytics, cloud computing, and technical sales or consulting. Include specific examples of your experience with Google Cloud products and relevant industry keywords.
Portfolio Customization: Customize your portfolio to showcase your expertise in data analytics, cloud computing, and technical sales or consulting. Include case studies that demonstrate your ability to understand customer requirements, design technical architectures, and implement scalable and distributed systems.
Technical Interview Preparation: Prepare for the technical interview by reviewing your understanding of data analytics concepts, cloud computing architecture, and performance optimization. Familiarize yourself with Google Cloud products and their features and benefits.
Company Research: Research Google's company culture, values, and products to demonstrate your familiarity with the organization and its offerings. Prepare for company and culture questions by reflecting on your approach to customer-centricity, collaboration, and teamwork.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development/server administration industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Customer Engineer, Data Analytics, Google Cloud