Senior Data Engineer - Lakehouse, Governance & Databricks

Openkrill; United States; Hybrid; USD 130,000 - 180,000; Full time

Benefits offered by this job

Premium Healthcare

Meal voucher

Maternity and Parental leaves

Mobile services subsidy

Sick pay-Life insurance

CI&T University

Colombian Holidays

Paid Vacations

Job summary

CI&T is seeking a Senior Data Developer to own the relational and lakehouse data behind a higher-education platform's program, student and enrollment data. You will ensure data correctness, performance, and governance to support analytics, CRM, and partner-facing applications.

You will design schemas, build Databricks pipelines, and manage data quality, access, and documentation while mentoring mid-level developers and collaborating with architects and application teams.

Qualifications

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

Responsibilities

• Design, build and tune schemas, stored procedures, views, functions and indexes.
• Build and maintain Databricks pipelines (PySpark / Spark SQL) and dbt models.
• Support transactional databases and lakehouse models for analytics.
• Manage data access and lineage, implement quality checks and reconciliation.
• Version database changes in Git and deploy through CI/CD.

Skills

Fluent English

SQL proficiency

Kimball dimensional modeling

Data governance

CI/CD collaboration

Tools

Databricks

dbt

PySpark

Git

Jira

Job description

CI&T is seeking a Senior Data Developer to own the relational and lakehouse data behind a higher-education platform's program, student and enrollment data. You will ensure data correctness, performance, and governance to support analytics, CRM, and partner-facing applications.

You will design schemas, build Databricks pipelines, and manage data quality, access, and documentation while mentoring mid-level developers and collaborating with architects and application teams.