> Markdown version of [/jobs/ext/267574-associate-ai-data-consultant-professional-services-google-cloud](https://www.wearedevelopers.com/jobs/ext/267574-associate-ai-data-consultant-professional-services-google-cloud). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Associate AI Data Consultant, Professional Services, Google Cloud - **Company:** Google LLC - **Location:** Austin, TX, United States - **Salary:** $102,000.0 - $145,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Architectural Patterns, Big Data, BigQuery, Data Architecture, Information Engineering, Data Warehousing, Data Flow Control, Python (Programming Language), Machine Learning, SQL Databases, Data Processing, Google Cloud, Feature Engineering, Data Ingestion, Microsoft Fabric, AI Platforms, Kubernetes, Information Technology, Data Management, Machine Learning Operations, Data Pipelines, Automation Anywhere - **Published:** May 20, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=22274cca65dae67d ## About the Role Do you have experience in SQL?, Do you have a Bachelor's degree?, * 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., * 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). ## Description * 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. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Making Data Warehouses fast. 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