Senior Data Architect with AI expertise leading data systems and solutions at CI&T. Collaborating across teams to ensure efficient data architecture for AI and business strategies.
Responsibilities
Define and communicate the long-term data architecture vision, aligned with the business strategy and AI innovation roadmap.
Lead the evaluation and selection of technologies, frameworks, and standards for implementing the data architecture, including AI/ML infrastructure.
Establish and promote best practices for data management, governance, and quality.
Actively participate in defining and executing the organization's data and AI strategy.
Design and architect the Intelligence Layer for AI-driven assessment and scenario generation capabilities.
Ensure AI solutions are auditable, transparent, and incorporate bias mitigation strategies.
Define data pipelines and infrastructure to support ML model training, deployment, and monitoring.
Collaborate with data scientists and ML engineers to optimize data flows for AI workloads.
Collaborate with leadership teams and stakeholders to ensure the data architecture meets business needs and supports clinical workflows.
Identify and anticipate complex technical challenges, proposing innovative and effective solutions.
Provide advanced technical guidance and support to the data development, architecture, and AI teams.
Ensure compliance with data security regulations and healthcare industry standards (HIPAA, GDPR, etc.).
Design data architecture that supports hybrid environments with offline-first capabilities.
Define integration patterns for the API gateway connecting LMS providers and healthcare hardware.
Ensure data synchronization strategies for low-connectivity clinical environments.
Promote a culture of innovation and technical excellence in the data and AI areas.
Mentor and empower other team members by sharing knowledge and experience.
Represent the data architecture in internal and external technical and strategic forums.
Develop and maintain strategic relationships with suppliers and technology partners.
Requirements
Cloud Architecture: Experience with cloud platforms.
Data Warehousing: Experience with Snowflake or similar modern data warehousing solutions.
Data Engineering: Experience with DBT, data modeling, ELT, and performance tuning.
AI/ML Infrastructure: Understanding of data architecture requirements for AI/ML workloads, including feature stores, model registries, and ML pipelines.
Healthcare Context: Ability to design data systems that comply with healthcare regulations and support clinical workflows.
Snowflake Certification or equivalent cloud data platform certifications (Nice to Have).
Experience with data governance, security, and privacy frameworks (Nice to Have).
Experience with AI/ML platforms (Azure ML, Databricks, SageMaker, or similar) (Nice to Have).
Knowledge of MLOps practices and tools (Nice to Have).
Experience with vector databases and LLM integration patterns (Nice to Have).
Understanding of bias detection and AI ethics principles (Nice to Have).
Experience with real-time data streaming and event-driven architectures (Nice to Have).
Knowledge of accessibility standards (WCAG 2.1 AA) and their data implications (Nice to Have).
Experience in healthcare or clinical systems (Nice to Have).
Benefits
Health and dental insurance
Meal and food allowance
Childcare assistance
Extended paternity leave
Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass;
Profit Sharing and Results Participation (PLR);
Life insurance
Continuous learning platform (CI&T University);
Discount club
Free online platform dedicated to physical, mental, and overall well-being
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