Data Architect (Databricks), 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.

We are looking for a Data Architect with strong AWS expertise to drive the strategy, development, and execution of our enterprise data platforms and analytics products. In this role, you will bridge the gap between business stakeholders, data engineers, and data science teams to transform raw data assets into scalable, high-value data products. You will leverage cloud-native AWS services to manage the product lifecycle from discovery to rollout, ensuring high data quality, governance, and business impact.

Responsibilities:

• Target architecture: Defines the target data architecture on AWS for the migration from Databricks, by documenting design decisions, patterns and trade-offs.

• Migration planning: Plans the migration by assessing existing data assets, dependencies and risks, and sequencing the work in manageable stages.

• Lakehouse and storage design: Designs table, Delta Lake and storage layouts for the new environment, including the refactoring of storage paths.

• Technical leadership: Guides three data developers by setting engineering standards, reviewing solutions and removing technical blockers.

• Validation: Defines how migrated data is validated by reconciling it against the source with SQL-based checks.

• Data consumption: Ensures analysts and business users can query and visualize migrated data, keeping existing reports and analyses working.

• Governance and quality: Partners with security and data governance teams to apply access control, privacy, lineage and data quality standards.

• Stakeholder communication: Explains technical decisions, risks and progress to client technical and business stakeholders in clear, concise language.

Requirements:

• Hands-on experience with Databricks, including Delta Lake.
• Experience designing and executing data migrations between platforms.
• Solid knowledge of AWS data services and cloud-native data architecture patterns, such as data lake and lakehouse.
• Experience specifically managing data platforms, ETL pipelines, or analytics products.
• Agile & Delivery: Strong experience leading cross-functional squads using Scrum/Kanban, backlog management tools (Jira, Linear), and defining clear user stories.
• Data Skills: Proficiency in SQL and data visualization tools, with the ability to query data directly to validate product performance and metrics.
• Business Acumen: Demonstrated track record of converting complex technical requirements into actionable business outcomes and executive-ready communications.

Nice to Have:

• Databricks Certified Consultant (Associate/Professional); DBR to EMR on AWS migration experience

• AWS Certified Data Engineer – Associate or AWS Certified Cloud Practitioner

• Certified Scrum Product Owner (CSPO) or Pragmatic Institute Certification

#LI-LO1Our benefits include: - Premium Healthcare - Meal voucher - Maternity and Parental leaves - Mobile services subsidy - Sick pay-Life insurance - CI&T University - Colombian Holidays - Paid Vacations And many others. Collaboration is our superpower, diversity unites us, and excellence is our standard. We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.