Google cloud presales: solutions engineer / architect || pan india
HCLTech · Bengaluru, India
FULL TIMEpermanent
Job Description
HCLTech is hiring Google Cloud: Solutions Engineer / Architect || PAN India
Role Title: Google Cloud: Solutions Engineer / Architect
Primary Skills: GCP, Presales, Data & AI
Notice Period: Immediate/ 30days/60 days
Location: Major Indian Metros (Bengaluru, Mumbai, Pune, Gurugram, or Hyderabad)
Experience: 7+ Years
This role drives Solution Design & Engineering for accelerating adoption of Google Cloud at Enterprise level. You will lead opportunities for Fortune 2000 Clients on Cloud Migration, Modernization, Data Engineering & AI-driven automation use cases across IT Services Automation & Industry Value stream Process Automation.
Collaborate with Global Sales & cross functional Team of Technical Architects to work on Customer requirements, Create GTM Picth with Solution Approach, storyline on with key differentiators & benefits to meet customer objectives and secure customer wins across major industries like Banking, Retail, Healthcare, and Telecom.
Core Responsibilities
Pre-Sales & Go-To-Market (GTM)
Collaborate with Global Sales and Google Cloud Architects to respond to RFIs/RFPs and proactive customer requirements.
Develop ROI Approaches for Google Cloud Consumption and hyperscale funding levers that drive TCO (Total Cost of Ownership) benefits.
Establish and design industry use case-based ideation for IT Managed Services, focusing on cloud adoption and modernization.
Cloud Architecture & Solutions Engineering
Lead technical workshops and design reference architectures for Data Center Migration & Modernization to Google Cloud.
Design Google Cloud Native Services applications and enterprise-grade Data Engineering stacks using Big Query , Looker , and Vertex AI.
Ideate & Design Gemini Enterprise Agentic AI and Gen AI solutions relevant to enterprise needs for accelerating IT Managed services & Cloud Operations & Engineering.
Partner Collaboration
Bring 3 to 5 years of collaborative experience working with Google GSI (Global Systems Integrator) Partners to build joint solutions and scale go-to-market motions
Industry Domain expertise: High level understanding of Mapping Value Stream use cases for any one of the following domains (BFSI, RCPG, Telecom, Healthcare & Life science, Manufacturing & Technology verticals)
Candidate Qualifications
Education: B. E. / B. Tech in Computer Science, IT, or related fields.
Experience: 5 to 7 years of overall IT experience, with a minimum of 2-3 years on Google Cloud Platform (GCP)
Technical Skills:
Deep proficiency in GCP Compute, Storage, and Networking.
High level expertise in Data Engineering: EDW and BI (Big Query, Looker).
Basic understanding of AI/ML platforms (Gemini Enterprise / Vertex AI) and Large Language Models (LLM)
SI Partnership Acumen: Proven history of working with Sales Order Booking & Revenue Target on IT Services & Cloud Engineering in collaboration with GSI ecosystems and enterprise sales overlays.
Soft Skills: Exceptional executive presence, whiteboarding capabilities, and ability to translate deep-technical concepts into business value.
Certifications Preferred
Google Cloud Certified Professional Cloud Architect
Google Cloud Certified Professional Data Engineer
Google Cloud Certified Professional Machine Learning Engineer
Role Title: Google Cloud: Solutions Engineer / Architect
Primary Skills: GCP, Presales, Data & AI
Notice Period: Immediate/ 30days/60 days
Location: Major Indian Metros (Bengaluru, Mumbai, Pune, Gurugram, or Hyderabad)
Experience: 7+ Years
This role drives Solution Design & Engineering for accelerating adoption of Google Cloud at Enterprise level. You will lead opportunities for Fortune 2000 Clients on Cloud Migration, Modernization, Data Engineering & AI-driven automation use cases across IT Services Automation & Industry Value stream Process Automation.
Collaborate with Global Sales & cross functional Team of Technical Architects to work on Customer requirements, Create GTM Picth with Solution Approach, storyline on with key differentiators & benefits to meet customer objectives and secure customer wins across major industries like Banking, Retail, Healthcare, and Telecom.
Core Responsibilities
Pre-Sales & Go-To-Market (GTM)
Collaborate with Global Sales and Google Cloud Architects to respond to RFIs/RFPs and proactive customer requirements.
Develop ROI Approaches for Google Cloud Consumption and hyperscale funding levers that drive TCO (Total Cost of Ownership) benefits.
Establish and design industry use case-based ideation for IT Managed Services, focusing on cloud adoption and modernization.
Cloud Architecture & Solutions Engineering
Lead technical workshops and design reference architectures for Data Center Migration & Modernization to Google Cloud.
Design Google Cloud Native Services applications and enterprise-grade Data Engineering stacks using Big Query , Looker , and Vertex AI.
Ideate & Design Gemini Enterprise Agentic AI and Gen AI solutions relevant to enterprise needs for accelerating IT Managed services & Cloud Operations & Engineering.
Partner Collaboration
Bring 3 to 5 years of collaborative experience working with Google GSI (Global Systems Integrator) Partners to build joint solutions and scale go-to-market motions
Industry Domain expertise: High level understanding of Mapping Value Stream use cases for any one of the following domains (BFSI, RCPG, Telecom, Healthcare & Life science, Manufacturing & Technology verticals)
Candidate Qualifications
Education: B. E. / B. Tech in Computer Science, IT, or related fields.
Experience: 5 to 7 years of overall IT experience, with a minimum of 2-3 years on Google Cloud Platform (GCP)
Technical Skills:
Deep proficiency in GCP Compute, Storage, and Networking.
High level expertise in Data Engineering: EDW and BI (Big Query, Looker).
Basic understanding of AI/ML platforms (Gemini Enterprise / Vertex AI) and Large Language Models (LLM)
SI Partnership Acumen: Proven history of working with Sales Order Booking & Revenue Target on IT Services & Cloud Engineering in collaboration with GSI ecosystems and enterprise sales overlays.
Soft Skills: Exceptional executive presence, whiteboarding capabilities, and ability to translate deep-technical concepts into business value.
Certifications Preferred
Google Cloud Certified Professional Cloud Architect
Google Cloud Certified Professional Data Engineer
Google Cloud Certified Professional Machine Learning Engineer
Details
| Company | HCLTech |
| Location | Bengaluru, India |
| Type | FULL TIME |
| Niche | tech |
| Experience | permanent |
