Job Description: Google Data and AI Architect (Pre-Sales)
Overview
We are seeking an experienced Google Data and AI Architect for a Pre-Sales role. The ideal candidate will have at least 10 years of professional experience in data architecture, analytics, and AI/ML solution design, with a strong background in Google Cloud Platform (GCP) OR other Hyperscaler's like AWS and Azure.
- This role involves collaborating with sales teams and clients to design, propose, and present cutting-edge data and AI solutions that drive business transformation.
Key Responsibilities
- Collaborate with sales and business development teams to identify and qualify data and AI opportunities on Google Cloud.
- Engage with customers to understand their business challenges, data landscape, and technical requirements.
- Design end-to-end cloud-native data and AI architectures leveraging Google Cloud technologies such as BigQuery, Vertex AI, Dataflow, Dataproc, and Pub/Sub.
- Lead technical discussions and workshops with clients to demonstrate the value of Google Cloud solutions.
- Prepare solution proposals, architecture diagrams, and technical documentation for client engagements.
- Develop proof-of-concepts (POCs) and prototypes to showcase solution feasibility and value realization.
- Collaborate with internal teams to ensure smooth transition from pre-sales to delivery.
- Stay updated with Google Cloud innovations, best practices, and industry trends.
Required Skills And Experience
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field.
- 10+ years of experience in data architecture, analytics, or AI solution design.
- Strong expertise in Google Cloud Platform (BigQuery, Vertex AI, Dataflow, Dataproc, AI Hub, Looker), OR similar in AWS and Azure.
- Experience designing data pipelines, machine learning workflows, and real-time analytics solutions.
- Hands-on knowledge of Python, SQL, TensorFlow, or PyTorch is a plus.
- Excellent communication, presentation, and stakeholder management skills.
- Experience in pre-sales, consulting, or solution architecture roles.
- Google Professional Data Engineer or Cloud Architect certification preferred.
Soft Skills
- Strong business acumen and ability to align technical solutions with business goals.
- Excellent communication and storytelling skills for executive presentations.
- Collaborative mindset and ability to work with cross-functional teams.
- Proactive and self-driven, withthe ability to lead customer discussions.
Location and Travel
This position may require occasional travel to client sites or Google regional offices for workshops and presentations.
EA License # 14C6941
