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.

This role combines deep hands-on data engineering with technical ownership of a critical data layer. The Senior Data Developer will own the relational and lakehouse data behind a higher-education platform's program, student and enrollment data. That data has to be correct, fast and well governed, so that analytics, CRM and partner-facing applications can trust it. Success depends on taking ambiguous data problems from analysis to production on your own, making sound performance and modeling trade-offs, and keeping a high quality bar across the team.

Responsibilities

- Database Development: Design, build and tune schemas, stored procedures, views, functions and indexes. Lead query-plan analysis and performance work.
- Lakehouse Engineering: Build and maintain Databricks pipelines (PySpark / Spark SQL) and dbt models using Kimball dimensional modeling.
- Dual-Layer Delivery: Support both the transactional SQL databases used by applications and the lakehouse models used for analytics.
- Data Governance & Quality: Manage data access and lineage in Unity Catalog. Implement quality checks and source-to-target reconciliation, and protect sensitive personal data (masking, row-level access).
- Engineering Practices: Version database changes in Git, deploy through CI/CD, and review peers' SQL.
- Knowledge Transfer & Operations: Take over existing schemas and jobs from previous teams without disrupting production.



Document data models and runbooks, and support incident resolution and root-cause analysis.
- Collaboration: Work with the Data Architect on modeling standards, and with application developers on API and data contracts.
- Mentorship: Mentor mid-level developers and explain technical trade-offs to client architects.
- Nearshore Delivery: Work with North American stakeholders and teams in Brazil and Colombia, keeping strong overlap with US business hours.

Requirements

- Advanced/fluent English (C1 or above)
- Expert SQL (T-SQL and/or ANSI), including stored procedures, window functions, CTEs, indexing and execution plans
- Solid experience with relational databases (SQL Server / Azure SQL preferred, or PostgreSQL or similar)
- Hands-on production experience with Databricks, PySpark, Delta Lake and dbt
- Solid experience with dimensional modeling (Kimball) and data warehouse design
- Experience with Git, CI/CD for database changes and Jira

Nice to have

- Unity Catalog administration
- Databricks certification (Data Engineer Associate / Professional)
- Experience with orchestration and ingestion tools (Databricks Workflows, Airflow, ADF, Fivetran)
- Experience with data quality frameworks (Great Expectations, dbt tests)
- Exposure to BI tools (Power BI or Tableau)
- Experience with regulated data (education, healthcare or privacy regulations such as LGPD)
- Familiarity with AI-assisted development and agentic coding

Our 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.

#LI-TO1

#J-18808-Ljbffr

📌 [Job-32044] Senior Data Developer, Colombia
🏢 Lever
📍 Colombia