Senior Data Architect

• Lead the data team technically, providing hands-on guidance to database specialists and developers on data products and pipelines
• Define and evolve target data architecture covering ingestion, lakehouse design, data modeling, governance, and serving layers
• Drive solution design by translating business and technical requirements into workable solutions
• Select appropriate frameworks, patterns, and modeling approaches
• Collaborate with client architects and business leaders to present architectural options and trade-offs
• Record architectural decisions clearly for shared team execution
• Establish and enforce standards for data quality, access control, data lineage, and privacy
• Incorporate CI/CD and DataOps practices to support consistent, reliable delivery
• Lead current-state data assessments and knowledge transfer during transitions
• Identify priorities that deliver measurable business value incrementally
• Develop proofs of concept and prototypes to validate architectural approaches and demonstrate value
• Contribute to and draw on CI&T's shared data-practice methodologies and expertise
• Support a strategic, end-to-end technology engagement for a US-based EdTech client

• Advanced English proficiency (C1 level or above) — mandatory for direct, daily engagement with North American stakeholders
• Proven experience in data architecture design and hands-on technical leadership of multidisciplinary data teams
• Solid experience designing, building, and deploying data pipelines, lakehouse architectures, and data products at scale
• Hands-on experience with Databricks, including Delta Lake and Unity Catalog, or equivalent depth on AWS data services
• Strong data modeling skills across dimensional (Kimball) and relational approaches, with advanced SQL
• Experience with pipeline orchestration and workflow automation, such as dbt, Databricks Workflows, or Apache Airflow
• Demonstrated ability to translate business problems into practical data solutions and communicate trade-offs to technical and non-technical audiences
• Ability to work in a nearshore delivery model with consistent overlap with US Central business hours
• Databricks certification, preferred
• Experience with Snowflake or similar cloud data warehouse platforms, preferred
• Knowledge of data governance and privacy principles in regulated industries, preferred
• Experience with CI/CD and MLOps pipeline practices, preferred
• Familiarity with AI solutions and agentic coding workflows, preferred
• Experience leading consultative data assessments and data modernization engagements, preferred
• Spanish or Portuguese language skills, preferred

• Premium Healthcare
• Meal voucher
• Maternity and Parental leaves
• Mobile services subsidy
• Sick pay-Life insurance
• CI&T University
• Colombian Holidays
• Paid Vacations