[Job - 32043] Senior Data Architect, Colombia

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.

With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.

We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.

• →Lead the data team technically, providing hands-on guidance to database specialists and developers on the design, development, and maintenance of data products and pipelines.
• →Define and evolve the target data architecture — covering ingestion, lakehouse design, data modeling, governance, and serving layers — aligned with security, performance, and cost standards.
• →Drive solution design by translating business and technical requirements into workable solutions, selecting appropriate frameworks, patterns, and modeling approaches for each context.
• →Collaborate directly with the client's architects and business leaders to present architectural options and trade-offs; record decisions clearly so the team builds from a shared, agreed foundation.
• →Establish and enforce standards for data quality, access control, data lineage, and privacy in an environment that handles regulated and sensitive data.
• →Maintain a stable and productive development environment by incorporating CI/CD and DataOps practices that support consistent, reliable delivery.
• →Lead current-state data assessments and knowledge transfer processes during transitions, identifying priorities that deliver measurable business value incrementally.
• →Develop proofs of concept and prototypes to validate architectural approaches and demonstrate value to client stakeholders.
• →Stay actively connected to CI&T's data practice, contributing to and drawing on shared methodologies and expertise across engagements.

• 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 (e.g., dbt, Databricks Workflows, or Apache Airflow)
• Demonstrated ability to translate business problems into practical data solutions and communicate trade-offs to both technical and non-technical audiences
• Ability to work in a nearshore delivery model with consistent overlap with US Central business hours

• Databricks certification
• Experience with Snowflake or similar cloud data warehouse platforms
• Knowledge of data governance and privacy principles in regulated industries
• Experience with CI/CD and MLOps pipeline practices
• Familiarity with AI solutions and agentic coding workflows
• Experience leading consultative data assessments and data modernization engagements
• Spanish or Portuguese language skills