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Lead / Principal Data Engineer - DBT & Databricks

Encora · Bolivia; Colombia; Costa Rica; Peru
Sponsorship not statedRemote · regionHiring geography needs source review5+ years requestedIndustry: technology
Direct source excerpts
**Mode:** Remote.
Extracted role summary · not eligibility evidence

Lead/Principal Data Engineer with 5+ years of experience, skilled in DBT and Azure Databricks, remote in Latin America.

dbtazure databrickssqlpythondelta lake

Job Title: Lead / Principal Data Engineer - DBT Databricks

Key Skills: DBT, Azure Databricks, SQL, Python, Delta Lake, AI-Assisted Development

Experience: 5+ YOE.

Location: Costa Rica, Peru, Colombia, and Bolivia.

Mode: Remote.

We at Coforge are hiring Lead / Principal Data Engineer - DBT Databricks (#22555) with the following skill set.

Key Responsibilities

· Design, build, and maintain DBT models on Azure Databricks using Delta Lake, Unity Catalog, and Medallion Architecture principles.

· Deliver curated Gold-layer data domains to production standards in regulated enterprise environments.

· Leverage AI-assisted development tools such as Claude Code for model generation, refactoring, documentation, debugging, and engineering acceleration.

· Establish comprehensive DBT testing strategies, including schema validation, data quality testing, unit testing, and automated quality controls.

· Work within fast-paced, CI/CD-driven delivery environments using pull request workflows and automated quality gates.

· Curate datasets, semantic definitions, and business terminology to support Databricks Genie and natural-language analytics initiatives.

· Define and enforce data contracts, domain ownership, and governance standards.

· Implement data observability, monitoring, and root-cause analysis practices across data platforms.

· Drive modernization and migration initiatives through AI-assisted Data Engineering approaches.

· Contribute to engineering playbooks, standards, and enablement programs related to DBT, Databricks, and AI-powered development.

· Measure and improve AI-generated code adoption, quality, productivity, and delivery outcomes.

Required Skills Qualifications

· 5+ years of experience in Data Engineering.

· At least 2 years of hands-on experience building and operating production-grade DBT projects, including models, tests, macros, snapshots, and large-scale refactoring.

· Strong SQL skills and solid Python programming experience.

· Hands-on experience with Azure Databricks, including Delta Lake, Unity Catalog, and Medallion Architecture.

· Strong knowledge of DBT testing frameworks, data validation, and quality assurance best practices.

· Familiarity with tools such as dbt-expectations, Great Expectations, or Delta Live Tables expectations.

· Experience working with Git-based pull request workflows, code reviews, and CI/CD deployment pipelines.

· Experience using AI-powered development tools such as Claude Code, GitHub Copilot, Cursor, or similar solutions.

· Ability to independently own data domains and collaborate directly with business stakeholders.

· Strong communication, analytical, and problem-solving skills.

Preferred Skills

· Experience curating Databricks Genie environments or building semantic layers for natural-language analytics.

· Experience within Insurance or Financial Services domains.

· Experience working with policy, claims, exposure, or regulatory reporting data.

· Hands-on experience with PySpark for large-scale data transformations.

· Experience with Databricks Workflows, Airflow, or similar orchestration platforms.

· DBT and/or Databricks certifications.

· Experience implementing AI-driven modernization and migration programs.

Posted On: 14-08-2026

At Coforge, we hire professionals based solely on their skills and qualifications and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.