Lead / Principal Data Engineer - DBT & Databricks
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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.