Data Governance & AI Architect

The Data Governance & AI Architect will lead the design and implementation of enterprise-grade data and AI platforms, ensuring they are scalable, secure, governed, and ethically aligned.

Requirements

• Data engineering experience
• Leadership in data governance and AI architecture
• Strategic leadership in data engineering
• Technical expertise in data engineering
• Ability to bridge business needs with technical execution
• Experience with Databricks, Spark, Airflow, and Kafka
• Knowledge of data modeling standards and governance requirements
• Ability to optimize data infrastructure for performance, reliability, and cost-efficiency
• Experience with data governance teams and policy embedding
• Knowledge of regulatory compliance and internal governance initiatives
• Ability to promote data stewardship and ownership models
• Experience with AI/ML platforms, feature stores, model training environments, and deployment pipelines
• Knowledge of MLOps best practices and model lifecycle management
• Ability to ensure AI systems are designed for scalability, explainability, and ethical use
• Experience with cloud-native services such as Azure ML, AWS SageMaker, and GCP Vertex AI
• Ability to partner with cybersecurity and legal teams to ensure security and ethical standards
• Knowledge of data access, encryption, and model transparency controls
• Ability to support responsible AI practices including bias detection, fairness, and accountability
• Experience with collaboration and leadership in cross-functional teams

Benefits

• Health and Safety #1 priority
• Competitive wages
• Comprehensive health benefits
• Group 401K with company matching component
• Employee Stock Purchase Plan
• Generous paid time off
• Company paid training and tuition reimbursement
• Positive and safe work environments
• Opportunities for growth and development