Google Cloud Data And AI Solutions Architect

TEKsystems

United States

On-site

USD 125,000 - 190,000

Full time

8 days ago

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Benefits offered by this job

Medical, Dental, and Vision

401(k) Retirement Plan

Life Insurance

Short and Long-Term Disability

Health Spending Account

Transportation Benefits

Employee Assistance Program

Time Off / PTO

Job summary

TEKsystems Global Services (TGS) seeks a Google Cloud Data & AI Solution Architect to lead pre-sales and translate complex business challenges into solid technical architectures and SOWs. You will collaborate with Sales and Practice partners to design data and AI solutions using GCP technologies, and draft delivery contracts with risk mitigation.

You will drive POCs, assess feasibility, and address security, scalability, and performance requirements while staying ahead of emerging Google Cloud

Qualifications

Agentic AI experience with Google Gemini Enterprise.
Enterprise data solutions design on Google Cloud (BigQuery, Cloud Storage, Cloud SQL, Dataflow, Vertex AI).
Experience with Lakehouse (Medallion) and Data Mesh architectures.
Google Cloud Professional Data Engineer and/or Professional Cloud Architect certifications preferred.
Strong communication and presentation skills for non-technical audiences.

Responsibilities

Lead pre-sales: discovery, solution design, proposals, and client presentations.
Draft accurate SOWs with Sales and Contracts to reflect architecture and delivery.
Perform POCs and feasibility studies to validate AI/data solutions.
Identify and mitigate technical/operational risks and key NFRs.
Support evolution of TEKsystems offerings with repeatable patterns.
Coordinate transition from Sales to Delivery, aligning expectations and timelines.
Provide advisory on Google Cloud and Agentic AI trends.

Skills

Agentic AI

Google Cloud Data

Data architecture

BigQuery

Data engineering

Cloud architecture

Education

Bachelor's degree in Computer Science / IT / Systems Engineering

Tools

Google Cloud BigQuery

Cloud Storage

Cloud SQL

Dataflow

Vertex AI

Cloud Composer

Job description

Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for bold business leaders. We deliver cloud, data and customer experience solutions. Our partnerships with leading cloud, design and business intelligence platforms fuel our expertise.

We value deep relationships, dedication to serving others and inclusion. We drive positive outcomes for our people and our business, and we stay true to our commitments and act in harmony with our words. We exist to create significant opportunity for people to achieve fulfillment through career success.

Ready to join us?

Here’s what the opportunity supported through our TGS Talent Acquisition Team requires:

The Google Cloud Data and AI Solution Architect (SA) is a customer-facing, pre-sales professional responsible. In this role, you will lead solution development for high-impact Google Cloud Platform (GCP) Data and AI engagements. Working in close collaboration with TEKsystems Sales and Practice partners, you will translate complex business challenges into robust technical architecture and Statements of Work (SOWs).

A successful Solution Architect possesses a deep understanding of the business domains coupled with broad technical expertise. You will be the primary driver for identifying, scoping, and proposing solutions by defining the delivery approach, team structure, resource estimation, pricing models, and client contracts.

Responsibilities

Pre-Sales Leadership Responsibilities: Lead and own pre-sales activities, including technical discovery, solution design, proposal development, and client presentations.
SOW & Contract Development: 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.
Technical Architecture & Validation: Conduct technical assessments, Proofs-of-Concept (POCs), and feasibility studies to validate proposed AI and data solutions.
Risk & NFR Management: Identify and mitigate technical/operational risks. Prioritize and advocate for critical non-functional requirements (NFRs) including security, scalability, performance, reliability, and supportability.
Practice & GTM Collaboration: 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.
Delivery Alignment: Lead the seamless transition of won opportunities from Sales to Delivery, ensuring client expectations, culture, risks, and timelines are documented and managed.
Thought Leadership: Provide advisory support to clients, staying at the forefront of emerging Google Cloud and Agentic AI trends to drive ongoing innovation.

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.

Required Experience:

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.

Job Type & Location

This is a Permanent position based out of Dallas, TX.

Pay and Benefits

The pay range for this position is $125000.00 - $190000.00/yr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected classification.

Additional earnings may be available through incentive programs like annual bonuses, profit sharing, etc.

Our full-time, internal employment benefits include the following: