Senior AI Data Architect

Modine Manufacturing Company

$150K — $185K *
US-AnywhereRemote in United States
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years in data engineering, data architecture, or AI/ML architecture.
  • Experience designing and implementing scalable data and AI platforms.
  • Proficiency with Google Cloud Platform (GCP), specifically BigQuery, Dataflow, Cloud Storage, and Vertex AI.
  • Knowledge of modern data architecture principles (data warehousing, data lakes, lakehouses).
  • Strong skills in designing data integration patterns and large-scale ETL/ELT pipelines.
  • Understanding of the machine learning lifecycle and MLOps principles.
  • Excellent problem-solving skills to translate business challenges into technical designs.

Responsibilities

  • Design and maintain enterprise-wide data and AI architecture.
  • Serve as GCP subject matter expert and implement core data platforms.
  • Architect end-to-end AI and machine learning solutions.
  • Design scalable ETL/ELT processes for data integration.
  • Evaluate and recommend new GCP services and tools.
  • Collaborate with data governance team to enforce data standards and protocols.
  • Partner with business analysts and data scientists to enable robust data infrastructure.

Benefits

  • Competitive health, dental & vision insurance coverage from Day One.
  • Maternity and paternity leave paid at 100% after 90 days of employment.
  • 401k plan with company match and other financial benefits.
  • Tuition reimbursement and competitive time-off policies.
  • Employee Assistance Program and short-term disability coverage.
Full Job Description
Senior AI Data Architect

Job Posting Location: Remote, USA

Posting Start Date: 4/7/26

Req Id: 7594

Required Travel: 0 - 20%

Remote, Onsite or Hybrid?: Remote

Position 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.

Key Responsibilities

  • 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.


Required Education & Qualifications

Required Qualifications:
  • 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.

Travel:
  • Up to 25%


Health & Well-being:
  • Day One
    • Competitive health, dental & vision insurance coverage
    • Employee Assistance Program
  • After 90 days of continuous employment
    • Maternity Leave (12 weeks at 100% pay)
      • 8 weeks of short term disability leave paid at 100%
      • 4 weeks of paid parental leave paid at 100%
    • Paternity Leave (4 weeks at 100% pay)


Financial Benefits:
  • 401k Retirement plan and company paid match
  • Life Insurance
  • Health Savings Account (HSA) with employer contribution
  • Flexible Spending Accounts (FSA)
  • Short Term Disability (company paid)
  • Long Term Disability


Work-Life Balance:
  • Competitive time-off policies
  • Tuition Reimbursement


To view full benefits information: MyModine Benefits

#LI-RR1

#LI-Remote

This position is not eligible for any form of sponsorship (e.g. OPT or H1B visa status) now or in the future. Only individuals authorized to work in the United States now and for the foreseeable future will be considered for this position.

Pay range for this position is $150,000-$185,000 DOE

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