[Hiring] Senior Data Developer @CI&T

Role Description

We are seeking a Senior Data Developer (Databricks) to join our team and take ownership of a mission-critical data platform supporting business reporting and analytics for our client. This is an opportunity to work deep in the Databricks ecosystem — from raw ingestion through a fully modeled dimensional layer — while acting as the technical backbone the rest of the team relies on for platform expertise.

This role blends hands-on execution with technical leadership:

• Own and evolve notebooks across the full medallion architecture.
• Design and extend dimensional modeling artifacts that power downstream business intelligence.
• Serve as the primary reviewer and technical reference point for the team.
• Propose architectural and process improvements.
• Troubleshoot production jobs and deploy across environments.
• Keep documentation current.

Success in this role requires the ability to ramp up quickly in a large, established, business-rule-heavy codebase and start contributing meaningfully within a short window.

Responsibilities

• Delivery & Continuous Improvement: Work on assigned tickets and bugs while continuously looking for improvement opportunities beyond the immediate task.
• Data Pipeline Ownership: Own and evolve notebooks across the Stage, Bronze, Silver, and Gold layers.
• Dimensional Modeling: Design and implement dimensional modeling artifacts with a clear understanding of how they enable downstream reporting.
• Workflow Management: Make changes to data processing jobs and workflows as needed to support evolving business requirements.
• Code Review & Quality: Review pull requests from other developers, enforcing code quality, performance, and architectural consistency.
• Environment & Deployment Management: Deploy and promote changes across environments, keeping deployment tracking up to date.
• Production Monitoring & Troubleshooting: Monitor and troubleshoot daily production jobs, investigating failures and performance issues.
• Testing & Automation: Maintain and improve the automated testing pipeline, including CI/CD workflows.
• Documentation: Keep technical documentation current.
• Technical Reference & Mentoring: Act as the go-to technical reference for the team on the data platform.
• Stakeholder Collaboration: Propose and recommend architectural and process improvements, collaborating with the client's business and technical stakeholders.

Qualifications

• Solid experience in data development, with proven hands-on production experience on the Databricks platform.
• Strong proficiency in PySpark and Databricks SQL, including performance tuning.
• Solid, practical experience with Delta Lake.
• Demonstrated experience implementing Slowly Changing Dimensions and dimensional modeling concepts.
• Experience with medallion architecture in a production data platform.
• Experience with Git and Azure DevOps for version control and CI/CD pipelines.
• Ability to read and navigate a large, established codebase.
• Advanced English (C1 or above) communication skills.

Requirements

• Experience with Databricks Asset Bundles or other Infrastructure-as-Code approaches.
• Familiarity with Delta Live Tables and Databricks Genie.
• Familiarity with data quality frameworks.
• Experience with pytest and databricks-connect for automated testing.
• Familiarity with Pydantic or similar typed-configuration approaches.
• Comfortable using AI-assisted development tools.

Benefits

• 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.