Associate AI Data Consultant, Professional Services, Google Cloud

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

As an AI-Data Consultant within the Google Cloud Professional Services Organization (PSO), you will be the cornerstone of our customers' digital transformation, designing the data ecosystems that power everything from enterprise-wide analytics to generative AI. You will be a trusted advisor who architects and builds scalable, secure, and future-proof data foundations. This role requires a deep expertise in data architecture and a strong outlook for how to bridge the gap from data to AI, enabling customers to not only manage their data but to activate it for intelligent applications.

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.

Responsibilities

• Collaborate with technical leads and stakeholders on data strategies aligning with business and AI goals.
• Serve as a core technical resource on data architecture, applying cloud-native best practices and contributing to modernization initiatives.
• Facilitate technical workshops and sessions to help customer teams adopt and build AI-ready architectures on Google Cloud.
• Design and implement robust Google Cloud data platforms (lakes, warehouses, and governance frameworks) tailored for analytics, AI/ML, and agentic workloads.
• Develop and deploy end-to-end data-to-AI workflows, building reliable pipelines for data ingestion, feature engineering, model training, and inference.

Minimum qualifications:

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• Experience in a customer-facing data architecture or data engineering role.
• Experience building and managing data platforms on one of the cloud provider (e.g. Google Cloud Platform (GCP)).
• Experience with data warehousing, data processing, and data modeling.
• Experience with Python and SQL.

Preferred qualifications:

• Experience with advanced architectural patterns such as Data Mesh, Data Fabric, and the design of autonomous data agents.
• Experience designing large Data and AI platforms that explicitly support the entire machine learning lifecycle, from data sourcing and feature engineering to model training and inference.
• Understanding of MLOps principles and experience building data pipelines that integrate with ML orchestration tools like Vertex AI Pipelines, Kubeflow, or similar platforms.
• Expertise in Google Cloud's data stack or equivalent (e.g., BigQuery, Dataflow, Composer, Spanner, Pub/Sub).

The application window will be open until at least May 2, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.