📍 Job Overview

Job Title: Customer Engineer, Data Analytics, Google Cloud
Company: Google
Location: Bangalore, Karnataka, India
Job Type: On-site
Category: Data Analytics, Technical Sales
Date Posted: June 26, 2025
Experience Level: 5-10 years
Remote Status: On-site

🚀 Role Summary

Technical Sales Engineer focused on Google Cloud Platform (GCP) data analytics solutions, supporting local sales teams and collaborating with business teams to address data lifecycle aspects and architect client solutions.
Cloud Computing Expertise required, with a strong background in Apache Spark, data warehousing, and analytics systems architecture.
Customer-facing Role involving technical project leadership, product demonstrations, and compelling messaging to highlight GCP's value proposition.

📝 Enhancement Note: This role combines technical sales, data analytics, and cloud computing expertise to drive customer success with GCP's data analytics offerings.

💻 Primary Responsibilities

Customer Engagement: Support local sales teams in pursuing business opportunities by engaging customers to address data lifecycle aspects.
Solution Architecture: Collaborate with business teams to identify business and technical requirements, conduct full technical discovery, and architect client solutions using GCP products.
Project Leadership: Lead technical projects, including technology advocacy, bid response support, product briefings, proof-of-concept work, and coordinating technical resources.
Product Demonstration: Leverage GCP products to demonstrate and prototype integrations in customer/partner environments.
Messaging & Communication: Deliver compelling product messaging to highlight GCP's value proposition through whiteboard and slide presentations, product demonstrations, white papers, and RFI response documents.

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

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science or a related technical field. A Master's degree is preferred.

Experience: 6 years of experience as a technical sales engineer in a cloud computing environment or a customer-facing role, with a focus on data analytics and cloud technologies.

Required Skills:

Apache Spark
Data warehousing and analytics systems architecture
Experience with data lakes, batch/real-time processing, and ETL workflows
Coding languages: Python, JavaScript, C++, Scala, R, or Go
Linux, Web 2.0 development platforms, solutions, and related technologies
Networking fundamentals: DNS, TCP, Firewalls, Proxy Servers, DMZ, Load Balancing, VPN, VPC

Preferred Skills:

Experience with technical sales or professional consulting in cloud computing, data, information life-cycle management, and Big Data
Knowledge of Google Cloud Platform products and services
Strong communication and presentation skills
Ability to travel for meetings, technical reviews, and on-site delivery activities as needed

📊 Web Portfolio & Project Requirements

Portfolio Essentials:
- Case studies demonstrating successful data analytics projects using cloud-based solutions
- Examples of technical leadership and project management in customer-facing roles
- Evidence of strong communication skills through presentation materials and customer testimonials
Technical Documentation:
- Detailed architecture diagrams and technical specifications for data analytics projects
- Code samples and snippets showcasing proficiency in relevant programming languages
- Documentation of data lifecycle management processes and best practices

📝 Enhancement Note: While a web portfolio is not explicitly required for this role, demonstrating a strong track record of successful data analytics projects and customer engagement will significantly strengthen the application.

💵 Compensation & Benefits

Salary Range: INR 1,800,000 - 2,500,000 per annum (Estimated, based on industry standards for experienced technical sales engineers in Bangalore)

Benefits:

Competitive healthcare and insurance plans
Generous retirement savings plans
Employee stock purchase plan
Tuition reimbursement and professional development opportunities
On-site meals, snacks, and fitness facilities
Generous vacation and time-off policies

Working Hours: Full-time, typically 40 hours per week, with flexibility for project deadlines and customer needs

📝 Enhancement Note: Salary range is estimated based on Glassdoor and Payscale data for similar roles in Bangalore. Benefits are based on Google's standard employee benefits package.

🎯 Team & Company Context

Company Culture:

Industry: Technology, with a focus on cloud computing and data analytics
Company Size: Large (Over 100,000 employees)
Founded: 1998, with a strong commitment to innovation and continuous learning

Team Structure:

Collaborative, cross-functional teams working on various aspects of Google Cloud Platform's data analytics offerings
Close coordination with sales, marketing, and product teams to drive customer success and product adoption

Development Methodology:

Agile development processes, with a focus on iterative improvement and customer feedback
Regular code reviews, testing, and quality assurance practices
Deployment strategies, CI/CD pipelines, and server management using GCP's infrastructure-as-code tools

Company Website: Google Cloud Platform

📝 Enhancement Note: Google's company culture is known for its emphasis on innovation, collaboration, and user-centric design. This role will allow the successful candidate to work on cutting-edge data analytics solutions and engage with customers to drive their success.

📈 Career & Growth Analysis

Web Technology Career Level: Senior Technical Sales Engineer, responsible for driving customer success with GCP's data analytics offerings and collaborating with internal teams to shape product strategy.

Reporting Structure: This role reports directly to the regional sales management team and works closely with various internal teams, including product, engineering, and marketing.

Technical Impact: Significant influence on customer success and GCP's data analytics product strategy, through customer engagement, solution architecture, and technical project leadership.

Growth Opportunities:

Career Progression: Transition into a more senior sales leadership role or move into a product management role within GCP's data analytics organization.
Technical Skill Development: Stay up-to-date with emerging data analytics trends and cloud computing technologies to enhance customer offerings and drive product innovation.
Technical Leadership: Develop and mentor junior team members, contributing to Google's overall technical expertise and customer success.

📝 Enhancement Note: This role offers significant opportunities for career growth and technical development within Google's expansive data analytics organization.

🌐 Work Environment

Office Type: Modern, collaborative workspaces designed to facilitate cross-functional teamwork and innovation.

Office Location(s): Google's Bangalore office, with opportunities for travel to customer sites and other Google offices as needed.

Workspace Context:

Collaboration: Open workspaces that encourage team interaction and idea-sharing
Work Tools: High-quality hardware, software, and development tools tailored to the role's requirements
Team Interaction: Regular team meetings, one-on-ones, and cross-functional collaboration sessions to drive customer success and product innovation

Work Schedule: Full-time, with flexibility for project deadlines, customer needs, and maintenance windows

📝 Enhancement Note: Google's work environment is designed to foster collaboration, creativity, and continuous learning, with a strong focus on employee well-being and work-life balance.

📄 Application & Technical Interview Process

Interview Process:

Initial Screening: Phone or video call to assess communication skills, technical background, and cultural fit.
Technical Deep Dive: In-depth discussion of the candidate's technical skills, data analytics experience, and cloud computing knowledge.
Customer Engagement Scenario: Role-playing exercise to evaluate the candidate's ability to engage customers, understand their needs, and propose suitable solutions.
Final Interview: Meeting with the hiring manager and/or other senior team members to discuss the candidate's fit for the role and the team.

Portfolio Review Tips:

Highlight successful data analytics projects and customer engagement experiences
Emphasize technical leadership, project management, and communication skills
Showcase an understanding of GCP's data analytics offerings and how they can address customer needs

Technical Challenge Preparation:

Brush up on Apache Spark, data warehousing, and ETL workflows
Familiarize yourself with GCP's data analytics products and services
Prepare for customer engagement scenarios by researching common data lifecycle challenges and GCP's solutions

ATS Keywords:

Technical Sales, Cloud Computing, Data Analytics, Apache Spark, Data Warehousing, ETL Workflow, Python, JavaScript, C++, Scala, R, Go, Linux, Web Development, Networking, Big Data, Google Cloud Platform

📝 Enhancement Note: Google's interview process is designed to assess the candidate's technical skills, communication abilities, and cultural fit. Preparation should focus on demonstrating a strong track record of customer success and a deep understanding of data analytics and cloud computing technologies.

🛠 Technology Stack & Web Infrastructure

Cloud Platform: Google Cloud Platform (GCP)

Data Analytics Tools:

Apache Spark
BigQuery
Cloud Dataflow
Cloud Data Fusion
Looker
AI Platform Notebooks

Server & Infrastructure Tools:

Compute Engine
Kubernetes Engine
Cloud Functions
Cloud Run
Cloud Storage
Cloud SQL
Cloud Spanner

Development & DevOps Tools:

Cloud SDK
Cloud Shell
Cloud Console
Git
Jenkins
Terraform
Ansible

📝 Enhancement Note: This role requires a strong understanding of GCP's data analytics offerings and the underlying infrastructure that supports them. Familiarity with GCP's server and infrastructure tools will be beneficial for effective solution architecture and project delivery.

👥 Team Culture & Values

Web Development Values:

User-centric Design: Focus on understanding and addressing customer needs to drive their success with GCP's data analytics offerings
Technical Excellence: Continuously improve technical skills and stay up-to-date with emerging data analytics trends and cloud computing technologies
Collaboration: Work closely with cross-functional teams to drive customer success and product innovation
Innovation: Embrace a culture of experimentation and continuous learning to push the boundaries of data analytics and cloud computing

Collaboration Style:

Cross-functional Integration: Work closely with sales, marketing, product, and engineering teams to drive customer success and product adoption
Code Review Culture: Collaborate with technical team members to ensure high-quality solutions and knowledge-sharing
Knowledge Sharing: Foster a culture of learning and development by sharing technical expertise and best practices with team members

📝 Enhancement Note: Google's team culture is characterized by collaboration, innovation, and a strong focus on user-centric design. This role requires exceptional communication skills and a deep understanding of data analytics and cloud computing technologies to drive customer success.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Data Lifecycle Management: Develop a deep understanding of customers' data lifecycle needs and propose suitable GCP solutions to address their challenges
Cloud Migration: Assist customers in migrating their data analytics workloads to GCP and optimizing their performance
Data Governance & Security: Ensure that data analytics solutions comply with relevant regulations and best practices for data governance and security
Emerging Technologies: Stay up-to-date with emerging data analytics trends and cloud computing technologies to enhance GCP's offerings and drive product innovation

Learning & Development Opportunities:

Technical Skill Development: Enhance data analytics and cloud computing skills through online courses, workshops, and certifications offered by Google and other industry partners
Conference Attendance: Attend industry conferences and events to network with peers, learn about emerging trends, and gain insights into best practices
Technical Mentorship: Seek guidance from senior team members and industry experts to develop technical leadership skills and advance your career within Google's data analytics organization

📝 Enhancement Note: This role presents numerous opportunities for technical growth and development within Google's expansive data analytics organization. Embracing a culture of continuous learning and innovation will be key to driving customer success and advancing your career.

💡 Interview Preparation

Technical Questions:

Data Analytics Fundamentals: Demonstrate a strong understanding of data analytics concepts, including data warehousing, data lakes, batch/real-time processing, and ETL workflows
Cloud Computing: Show proficiency in cloud computing technologies, with a focus on GCP's data analytics offerings and infrastructure tools
Customer Engagement: Prepare for scenario-based questions that assess your ability to understand customer needs and propose suitable solutions using GCP's data analytics products and services

Company & Culture Questions:

Google's Mission: Articulate how this role contributes to Google's mission of organizing the world's information and making it universally accessible and useful
Google's Values: Discuss how you embody Google's values, such as being user-focused, working collaboratively, and embracing a growth mindset
Data Analytics Trends: Share your insights into emerging data analytics trends and how they might impact GCP's product strategy and customer offerings

Portfolio Presentation Strategy:

Storytelling: Craft a compelling narrative that highlights your technical achievements, customer successes, and the impact you've made in previous roles
Visual Aids: Use diagrams, charts, and other visual elements to illustrate complex concepts and enhance your presentation's clarity and engagement
Interactive Demonstration: Prepare a live demo or interactive walkthrough of a data analytics project or solution to showcase your technical skills and problem-solving abilities

📝 Enhancement Note: Google's interview process is designed to assess the candidate's technical skills, communication abilities, and cultural fit. Preparation should focus on demonstrating a strong track record of customer success and a deep understanding of data analytics and cloud computing technologies.

📌 Application Steps

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

Tailor Your Resume: Highlight your relevant data analytics, cloud computing, and technical sales experience, as well as your proficiency in the required tools and technologies.
Update Your Portfolio: Showcase successful data analytics projects and customer engagement experiences, emphasizing your technical leadership, project management, and communication skills.
Prepare for Technical Interviews: Brush up on your data analytics and cloud computing knowledge, and practice for customer engagement scenarios and technical deep dives.
Research Google: Familiarize yourself with Google's mission, values, and data analytics offerings to demonstrate your enthusiasm for the role and your understanding of the company's culture.

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

Customer Engineer, Data Analytics, Google Cloud