Google Cloud Data And AI Solutions Architect

TEKsystems • Atlanta, GA

1d • $125,000 - $190,000 • Remote

About The Position

Google Cloud Data And AI Solutions Architect (SA) is a customer-facing, pre-sales professional responsible for leading solution development for high-impact Google Cloud Platform (GCP) Data and AI engagements. The role involves translating complex business challenges into robust technical architecture and Statements of Work (SOWs). A successful Solution Architect possesses a deep understanding of business domains coupled with broad technical expertise. This role is the primary driver for identifying, scoping, and proposing solutions by defining the delivery approach, team structure, resource estimation, pricing models, and client contracts.

Requirements

• Agentic AI: Exposure to or hands-on experience supporting agentic AI implementations using Google Gemini Enterprise.
• Google Cloud Data Ecosystem: Significant experience designing and architecting enterprise-grade data solutions using Google Data and AI technologies, specifically Google Cloud BigQuery, Cloud Storage, Cloud SQL, Cloud Composer, Dataflow, and Vertex AI.
• Modern Data Paradigms: Hands-on experience designing data architectures and data models, including Medallion (Lakehouse) architecture and Data Mesh architectures.
• Certifications (Strongly Preferred): Google Cloud Professional Data Engineer and/or Google Cloud Professional Cloud Architect.
• Communication & Presentation: Excellent communication and presentation skills, with a proven ability to articulate complex technical concepts clearly to non-technical stakeholders and executive audiences.
• Education: Technical Bachelor's degree (Computer Science, Information Technology, Systems Engineering, or equivalent).
• IT Delivery: 8 or more years of delivery/implementation experience in information technology and/or IT professional services.
• Pre-Sales/Sales: 2 or more years of direct sales/presales experience scoping technical solutions for a professional services company.
• Hands-on Google Cloud Background: Prior experience playing key, hands-on development or engineering roles on Google Cloud implementation projects.
• Relationship Management: Strong written and verbal communication skills, with a proven ability to effectively develop and maintain trusted client relationships.
• Technical Drive: Strong drive to remain current with emerging trends, technologies, and best practices in data modernization, infrastructure, and AI domains.
• Mobility: Ability to travel to client locations as needed.

Responsibilities

• Lead and own pre-sales activities, including technical discovery, solution design, proposal development, and client presentations.
• Partner closely with Sales and Contract teams to draft highly accurate Statements of Work (SOWs) that translate proposed technical architecture into solid, risk-mitigated delivery contracts.
• Conduct technical assessments, Proofs-of-Concept (POCs), and feasibility studies to validate proposed AI and data solutions.
• Identify and mitigate technical/operational risks. Prioritize and advocate for critical non-functional requirements (NFRs) including security, scalability, performance, reliability, and supportability.
• Support the continued evolution of TGS service offerings. Package repeatable solution patterns, create pre-sales collateral (such as case studies and client decks), and provide feedback to the practice team.
• Lead the seamless transition of won opportunities from Sales to Delivery, ensuring client expectations, culture, risks, and timelines are documented and managed.
• Provide advisory support to clients, staying at the forefront of emerging Google Cloud and Agentic AI trends to drive ongoing innovation.

Benefits

• Medical, Dental, and Vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life and AD&D for employee and dependents)
• Short and Long-Term Disability
• Health Spending Account (HSA)
• Transportation Benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior