GCP Data and AI Solution Architect

About TEKsystems Global Services

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 opportunities 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:

Position Overview

The GCP Data and AI Solution Architect (SA) is a pre-sales professional responsible for solution development in support of Google Cloud Data and AI engagements leveraging Google Cloud in collaboration with TEKsystems sales and practice partners.

A successful Solution Architect possesses a deep understanding of the business domain coupled with a broad technical expertise. Their strength lies in diverse experience across various technological roles, enabling them to:

• Approach business problems from multiple perspectives.
• Effectively communicate technical concepts to non-technical stakeholders.
• Leverage a toolbox of proven design strategies, patterns, and holistic solution viewpoints.
• Ask insightful technical questions and consider relevant factors.

The SA will be the primary driver for identifying, scoping, and creating solutions and proposals that encompass technical approach, estimates, implementation, team structure, pricing, and contracts.

The Solution Architect will bring thought leadership, current industry know-how, and applied solutions to improve existing service capabilities, engagement and delivery challenges, and any research and development activities.

Responsibilities

• Lead and own pre-sales activities, including solution design, proposal development, and client presentations.
• Understand business requirements and other inputs such as customer terms and conditions for the technology solution and both identify and mitigate risks that could hinder the technology's ability to meet those needs.
• Prioritize and advocate for addressing non-functional requirements, such as usability, reliability, performance, supportability, and security.
• Implement application modernization initiatives and continue to maintain deep technical skills.
• Conduct technical assessments, proofs-of-concept, and feasibility studies to validate proposed solutions.
• Package capabilities and solution content for use in sales and marketing activities.
• Prepare value proposition and competitive positioning statements.
• Providing feedback to practice to enable the development, enhancement, and packaging of new capabilities.
• Stay up to date with the latest trends, technologies, and best practices in data modernization and AI.

Requirements

• Must have demonstrable hands-on experience designing and architecting scalable, secure, and cost-effective data solutions using Google Cloud BigQuery and Cloud Storage.
• Strongly preferred demonstrable hands-on experience designing and architecting scalable, secure, and cost-effective solutions using Google Cloud Cloud SQL, Cloud Composer, Dataflow, and Vertex AI.
• Experience using frameworks such as Apache Beam and/or Apache Spark, and programming languages such as Python, Java, Bash, etc.
• Experience designing data architectures and data models, including medallion architectures and data mesh architectures.
• Exposure or experience supporting environments with AI/ML services (e.g., Vertex AI, TensorFlow) using MLOps practices.
• Strongly preferred certifications such as Google Cloud Professional Data Engineer and/or Google Cloud Professional Architect.
• Experience with using IDE’s developing with Python/PySpark, Java, or Go.
• Familiarity with agile methodologies, DevOps practices, and cloud-native application development.
• Strong problem-solving, analytical, and critical thinking skills.
• Excellent communication and presentation skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
• Proven experience in pre-sales activities, solution design, and client-facing engagements.
• Work with sales and contract teams on Statements of Work to ensure the proposed solution is translated to contracts.
• Collaborate with practices on continued evolution of service offerings and presales & go-to market collateral, such as case studies, account profiling, client presentation design, etc.
• Turnover from Sales to Delivery ensuring that expectations, schedules, and ramp up time frames are managed.
• Ensure client expectations are clearly communicated to delivery (e.g., client environment, culture, key players, escalation points, roles and responsibilities, vision, issues, risks, objectives, etc.).
• Providing advisory and thought leadership support to clients.

Required Education and/or Experience

• A technical Bachelor's degree (Computer Science, Information Technology/Systems, etc.).
• 8 or more years of delivery experience in information technology and/or IT professional services.
• 2 or more years of sales/pre-sales experience for a global professional services company (Google, Accenture, PWC, etc.).
• Prior experience in playing key, hands-on development roles on GCP implementation projects.
• Prior experience developing project estimations, project planning, and scheduling.
• Strong communication skills, both written and verbal, with the ability to effectively develop and maintain client relationships.
• Strong drive to remain current with emerging trends, technologies, and best practices in data modernization, infrastructure, and AI domains.
• Ability to travel to client locations to deliver professional services, as needed.

Key skills/competency

• Google Cloud Platform (GCP)
• Data Architecture
• Artificial Intelligence (AI)
• Machine Learning (ML)
• Pre-sales Engineering
• Solution Design
• BigQuery
• Cloud Storage
• Vertex AI
• Data Modernization