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Senior Data Architect
CI&TSenior/Principal Data Architect designing scalable, AI-ready Lakehouse and cloud data platforms for CI&T, a global enterprise technology transformation company. Leading architecture across Databricks, Snowflake, AWS, and Azure.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing scalable and secure data architectures, with a strong focus on cloud platforms like AWS and Azure. Proficient in leading architecture initiatives involving Databricks and Snowflake, while ensuring adherence to enterprise standards for governance and security.
Highest-signal resume keywords
Data ArchitectureDatabricksSnowflakeAWSAzure
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringData IntegrationData GovernanceData ModelingLakehouse ArchitectureAI/Agentic ApproachesSpecification-Driven DevelopmentEnd-to-End Data SolutionsArchitectural Decision-MakingTechnical Leadership
Soft Skills
Strong Communication SkillsMentorshipCollaboration
Tools & Technologies
Cloud Data PlatformAI AgentsAgentic ArchitectureGenerative AI
Industry Keywords
Enterprise Data GovernanceData Quality StrategiesComplex Enterprise EnvironmentsInternational Client Management
Tech Stack
Tools & technologiesAWSAzureCloud
About the role
Key responsibilities & impact- Design and define scalable, secure, high-performance data architectures aligned with business and technology strategies
- Act as a technical reference and architecture leader for Data Engineering and Analytics teams
- Define architecture patterns, standards, best practices, and technology strategies for modern data platforms
- Design and evolve Lakehouse and Cloud Data Platform architectures
- Lead architecture initiatives involving Databricks and/or Snowflake
- Design and implement data solutions across AWS and/or Azure cloud environments
- Define data integration, ingestion, transformation, storage, governance, security, and consumption patterns
- Evaluate emerging technologies and recommend solutions based on scalability, performance, cost, security, and business value
- Collaborate with Data Engineers, Data Scientists, Analytics teams, Product Managers, and business stakeholders
- Provide technical mentorship and guidance to engineering teams and support architectural decision-making
- Contribute to AI-ready data architectures, including solutions leveraging Agents and Agentic approaches for Data
- Explore and apply Agentic AI patterns, AI Agents, and SDD (Specification-Driven Development) in modern data engineering and architecture scenarios
- Ensure architecture decisions follow enterprise standards for security, governance, quality, scalability, and maintainability
Requirements
What you’ll need- Advanced English – C1 or above, with strong communication skills in international environments
- Extensive experience in Data Architecture and Data Engineering, preferably in complex enterprise environments
- Strong expertise in Databricks or Snowflake
- Strong knowledge of at least one major cloud platform: AWS or Azure
- Strong understanding of modern data architecture patterns, including Lakehouse, data platforms, data integration, data modeling, and data governance
- Experience designing end-to-end data solutions and translating business requirements into technical architecture
- Strong knowledge of AI/Agentic approaches for Data, including AI Agents, Agentic Architecture, or Agentic Data solutions
- Knowledge or practical experience with SDD (Specification-Driven Development) and its application to software/data engineering
- Strong architectural decision-making and technical leadership skills
- Ability to communicate complex technical concepts clearly to technical and non-technical stakeholders
- Experience with both Databricks and Snowflake (nice to have)
- Experience with both AWS and Azure (nice to have)
- Experience implementing LLM-powered solutions, AI Agents, or Agentic workflows (nice to have)
- Experience with Generative AI and Agentic AI frameworks and technologies (nice to have)
- Experience defining enterprise-level Data Governance, Security, and Data Quality strategies (nice to have)
- Experience working with global teams and international clients (nice to have)
Benefits
Comp & perks- 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
- Pregnancy and responsible parenting course
- Partnerships with online learning platforms
- Language learning platform
- Inclusion support and workplace accommodations for people with disabilities
- Dedicated Health and Well-being team, inclusion specialists, and affinity groups