AI-Data Consultant, Google Cloud

About The Role: AI-Data Consultant, Google Cloud

As an AI-Data Consultant/Architect within the Google Cloud Professional Services Organization (PSO), you will be the cornerstone of our customers' digital transformation. This role involves designing data ecosystems that power everything from enterprise-wide analytics to cutting-edge generative AI. You will act as a trusted advisor, architecting and building scalable, secure, and future-proof data foundations. This position requires a strong vision for bridging the gap from data to AI, enabling customers to not only manage their data but to activate it for intelligent applications.

The Google Cloud Consulting Professional Services team guides customers through critical moments in their cloud journey, helping businesses thrive by transforming and evolving through Google’s global network, web-scale data centers, and software infrastructure. You will help shape the future of businesses of all sizes, connecting with customers, employees, and partners using innovative technology.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions leveraging 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

• Lead implementation of end-to-end data platforms on GCP using BigQuery, Dataflow, Pub/Sub, etc.
• Build petabyte-scale ingestion (batch & streaming) pipelines and optimize query performance.
• Advise C-level and technical stakeholders on data strategies aligning with business and AI goals.
• Serve as the lead technical authority on data architecture, cloud-native best practices, and modernization strategy.
• Deliver discovery and design workshops to upskill customer teams and drive adoption of AI-ready architectures on Google Cloud.
• Advise on modern patterns such as Graph/RAG, data agents, Data/ML/AgentOps, etc.
• Design robust Google Cloud data platforms (lakes, warehouses, governance) for analytics, AI/ML and Agentic workloads.
• Architect end-to-end data-to-AI workflows, covering ingestion, feature engineering, model training, and inference.

Minimum Qualifications

• Bachelor's degree in Computer Science or equivalent practical experience.
• 3 years of experience in project management and technical solution delivery.
• Experience architecting, developing, or maintaining technical solutions in virtualized environments.
• Experience in systems design and architecting or explaining systems interactions, including data flows, common interfaces, APIs, and methods.

Preferred Qualifications

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

Key skills/competency

• Data Architecture
• Google Cloud Platform (GCP)
• AI/ML Solutions
• Data Pipelines
• Project Management
• Cloud-Native Best Practices
• BigQuery
• Dataflow
• MLOps
• Generative AI