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This role has closed. Encora10 has taken the posting down.
hirly last saw it live on 18 September 2026. See similar open roles below, or browse all Data Engineer jobs.
Encora10
Lead / Principal Data Engineer - DBT & Databricks
Bolivia; Colombia; Costa Rica; Peru
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hirly's read of this role
- Role family
- Data & ML
- Seniority
- Lead / management
- Country
- PE
- Work mode
- Remote-friendly
- First seen by hirly
- 4 Sept 2026
Derived automatically from the posting.
the posting
- 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.