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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Data Architect - **Company:** Modine Manufacturing Company - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $150,000.0 - $185,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Data Analysis, Microsoft Azure, BigQuery, Cloud Storage, Data as a Services, Data Architecture, Data Governance, Extract Transform Load (ETL), Data Visualization, Data Warehousing, Data Flow Control, Machine Learning, Power BI, Azure Machine Learning, SAP (Applications), SAP NetWeaver Business Warehouse, Google Cloud, Enterprise Software Applications, Cloud Platform System, IT Architecture, Generative AI, Data Lakes, AI Platforms, Core Data, Information Technology, Data Analytics, Machine Learning Operations, Terraform, Looker Analytics, Data Pipelines - **Published:** June 8, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=05d964f0d99760fd ## About the Role Do you have experience in Technical solutions implementation?, * 7+ years of experience in data architecture, or AI/ML architecture. * Proven track record of designing and implementing successful, scalable data and AI platforms. * Hands-on expertise with Google Cloud Platform (GCP) and its core data and AI services: + Prefered experience with: BigQuery, Dataflow, Cloud Storage, and Vertex AI. * Strong experience with modern data architecture principles (data warehousing, data lakes, lakehouses) and AI/ML solution architecture. * Proficiency in designing data models, data integration patterns, and building large-scale ETL/ELT pipelines. * Deep understanding of the machine learning lifecycle and MLOps principles (e.g., model training, deployment, monitoring). * Excellent problem-solving skills and the ability to translate complex business challenges into cohesive technical architectures. Preferred Qualifications: * Experience with other cloud platforms, particularly Microsoft Azure. * Experience with BI and visualization tools such as Power BI or Looker. * Knowledge of enterprise systems like SAP and SAP BW. * Experience working in a global manufacturing organization. * Experience with Infrastructure as Code (e.g., Terraform). Education Requirements: * Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. ## Description Modine is seeking a talented and visionary Data and AI Architect to play a pivotal role in our business transformation. This position is responsible for designing, creating, deploying, and managing the organization's data and AI architecture. You will be a key technical leader in shaping how Modine leverages data, advanced analytics, and artificial intelligence to create significant business value. The ideal candidate has a passion for building modern, scalable data and AI solutions, with specific expertise in the Google Cloud Platform (GCP) and its comprehensive data and analytics capabilities. You will work closely with business stakeholders, data scientists, and IT teams to build the foundation for our intelligent, data-driven future., * Data & AI Architecture Design: Design and maintain the enterprise-wide architecture for data and AI, encompassing data warehousing (BigQuery), data lakes, and lakehouse solutions. Architect scalable platforms for both traditional analytics and advanced AI/ML workloads. * Technical Implementation & GCP Expertise: Serve as the subject matter expert on Google Cloud. Implement and manage core platforms and tools, including: + Data Services: BigQuery, Dataflow, Cloud Storage, Pub/Sub, and Cloud Composer. + AI/ML Services: Vertex AI (including Pipelines, Training, Feature Store, and Endpoints), BigQuery ML, and emerging Generative AI services. * AI Strategy & Solution Architecture: Architect end-to-end solutions that support and enable the use of AI and machine learning. Translate business problems into technical blueprints for AI/ML models, incorporating MLOps principles for scalable deployment and management. * Scalable Data Pipelines: Design robust and scalable ETL/ELT processes to integrate data from various sources, including ERP systems like SAP, into the GCP ecosystem. * Technology & Platform Management: Continuously evaluate and recommend new GCP services and third-party tools to enhance our data and AI capabilities, ensuring our architecture remains modern and effective. * Data Governance: Collaborate with the data governance team to implement and enforce data standards, security protocols, and best practices to ensure data quality, integrity, and compliance across all data and AI systems. * Collaboration & Enablement: Partner with business analysts and citizen developers to support their use of data and tools like Power BI, and work with data scientists to provide the robust infrastructure needed to train and deploy models efficiently. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)