Solutions Acceleration Architect, Data

Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Data Science · Software Engineering

In short

This role involves leading the design and development of data-centric and AI-powered solutions on Google Cloud Platform (GCP) to solve complex business challenges for customers. The architect will collaborate with clients, mentor team members, and contribute to strategic solution-building efforts, demonstrating the transformative power of data and AI.

Responsibilities

Lead the design, development, and iterative refinement of data-centric and AI-powered solutions on Google Cloud Platform (GCP), showcasing the potential of data and AI to address specific business needs.
Collaborate closely with customers to understand their business challenges, technical requirements, and strategic objectives.
Mentor and guide team members, fostering a culture of innovation and continuous learning.
Establish and promote innovative best practices and methodologies for data-motivated solutions, actively contributing to industry thought leadership through publications, presentations, and community engagement.
Build strong, trusted relationships with customers and stakeholders.

Requirements

Bachelor's degree or equivalent practical experience.
10 years of experience with cloud native architecture in a customer-facing or support role.
Experience with Big Data technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, extract, transform, load (ETL), extract, load, transform (ELT), SQL, NoSQL, performance or scalability optimizations, or batch versus streaming.

Desired Qualifications

10 years of experience in cloud computing, with a focus on data architecture, data analytics, and data engineering, in a customer-facing or consulting role.
Experience in architecting and developing software or infrastructure for scalable, distributed systems.
Experience understanding customer requirements, breaking them down into actionable components, and designing technical architectures to meet those needs.
Experience managing stakeholder expectations and building consensus around complex technical projects.
Experience with database technologies (e.g., SQL, NoSQL), streaming data (e.g., Kafka), big data and data warehousing solutions.

Benefits

Google Cloud accelerates every organization’s ability to digitally transform its business and industry.
We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably.
Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Skills

cloud native architectureBig Dataanalytics warehousingdata processingdata transformationdata governancedata migrationsETLELTSQLNoSQLscalability optimizationsbatch versus streamingcloud computingdata architecturedata analyticsdata engineeringdistributed systemsstreaming datadata warehousingGoogle Cloud PlatformAIsoftware engineering

#Data#Architecture#Cloud#AI#Software Engineering#Google Cloud Platform#Analytics#Big Data#ETL#ELT#SQL#NoSQL#Streaming Data

About Google

Innovative Full-Stack Developer | Building Scalable Solutions with Node.js & React

At Google, our mission is to organize the world's information and make it universally accessible and useful. From Search to AI, we develop products and services that improve the lives of billions, empowering individuals and businesses globally. We're driven by a passion for innovation, a commitment to solving complex problems, and a belief in the transformative power of technology. Since our founding in 1998, we've remained dedicated to creating a more helpful and connected world.

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