Google Cloud Data And AI Solutions Architect
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
Job description
Experteer Overview In this role you will lead pre-sales and solution design for Google Cloud Data and AI engagements, translating business challenges into solid technical architectures and SOWs. You will partner with sales and practice teams to scope delivery approaches, resources, pricing, and contracts. Youāll validate solutions via POCs and risk assessments while shaping offerings and GTM collateral. Youāll drive client outcomes through deep domain and technical expertise in data and AI on Google Cloud. Compensation / Benefits * Lead pre-sales activities: discovery, design, proposals, and client presentations * Draft accurate SOWs with contract teams translating architecture into delivery agreements * Perform technical assessments, POCs, and feasibility studies for AI/data solutions * Identify and mitigate technical/operational risks and prioritize NFRs (security, scalability, performance, reliability, supportability) * Support evolution of service offerings, create repeatable solution patterns and pre-sales collateral * Coordinate transition from Sales to Delivery ensuring aligned expectations, culture, risks, and timelines * Provide advisory on Google Cloud/Agentic AI trends to drive innovation Tasks * Agentic AI exposure or hands-on experience with Google Gemini Enterprise * Significant experience designing enterprise data solutions on Google Cloud (BigQuery, Cloud Storage, Cloud SQL, Cloud Composer, Dataflow, Vertex AI) * Hands-on data architectures including Medallion (Lakehouse) and Data Mesh * Google Cloud Professional Data Engineer and/or Professional Cloud Architect certifications (strongly preferred) * Technical Bachelorās degree * 8+ years IT delivery/consulting experience * 2+ years pre-sales/sales experience scoping technical solutions * Hands-on Google Cloud development/engineering experience * Strong written and verbal communication for stakeholder engagement * Willingness to travel to client locations * Technical drive and continuous learning in data modernization, AI, infrastructure Key requirements * Medical, Dental, and Vision * 401(k) Retirement Plan * Life Insurance and AD&D * Disability insurance * HSA * Transportation Benefits
Requirements
GTM patterns and pre-sales collateral * Coordinate transition from Sales to Delivery ensuring aligned expectations, culture, risks, and timelines * Provide advisory on Google Cloud/Agentic AI trends to drive innovation Tasks * Agentic AI exposure or hands-on experience with Google Gemini Enterprise * Significant experience designing enterprise data solutions on Google Cloud (BigQuery, Cloud Storage, Cloud SQL, Cloud Composer, Dataflow, Vertex AI) * Hands-on data architectures including Medallion (Lakehouse) and Data Mesh * Google Cloud Professional Data Engineer and/or Professional Cloud Architect certifications (strongly preferred) * Technical Bachelorās degree * 8+ years IT delivery/consulting experience * 2+ years pre-sales/sales experience scoping technical solutions * Hands-on Google Cloud development/engineering experience * Strong written and verbal communication for stakeholder engagement * Willingness to travel to client locations * Technical drive and continuous learning in aa
- modernization, AI, infrastructure Key requirements * Medical, Dental, and Vision * 401(k) Retirement Plan * Life Insurance and AD&D * Disability insurance * HSA * Transportation Benefits
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on us.experteer.comGood distractions
Talks and stories from around this role ā technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
7 Cloud Computing Trends Coming in 2025 for Developers
Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?
Stephan Gillich - Bringing AI Everywhere
What Industries Outside of AI Are Hiring The Most AI Experts?