Employer job description
From Coforge's posting. “We” and “our” refer to the employer.
Job Title:
Lead Data Engineer
Key Skills:
Data Engineering, Azure Databricks, Snowflake, dbt, Python, SQL, Terraform, Data Architecture, ETL/ELT, CI/CD, Data Migration
Experience:
+8 years of experience.
Location:
Costa Rica, Peru, Colombia, Bolivia.
Work Mode:
Remote.
At Coforge, we are hiring
Lead Data Engineer (#21015-37-1) with the following skill set.
Key Responsibilities
- Lead and mentor a team of Data Engineers, providing technical direction, conducting code reviews, and promoting engineering excellence.
- Own the end-to-end architecture and design of scalable, reliable data platforms aligned with business needs.
- Lead implementation delivery from design through deployment, ensuring high-quality and production-ready solutions.
- Define and drive data migration strategies from Snowflake and SSIS to Azure Databricks and dbt.
- Design and oversee scalable data pipelines and data models, ensuring performance, maintainability, data quality, and observability.
- Lead the implementation of Infrastructure as Code using Terraform and drive CI/CD adoption across data platforms and pipelines.
- Collaborate with Data, Product, Architecture, and Business teams to translate requirements into robust technical solutions.
- Act as the primary technical owner for complex troubleshooting and long-term platform stability.
- Establish architectural standards, design patterns, and engineering best practices across the data ecosystem.
- Required Skills & Qualifications
- 8+ years of experience in Data Engineering, with at least 2–3 years in a Lead or Staff-level role.
- Proven experience owning system design and leading implementations of large-scale data platforms.
- Strong hands-on expertise with Snowflake, Azure Databricks, dbt, and Python.
- Experience working with large-scale data transformations involving thousands of dbt models and data pipelines processing terabytes of data daily.
- Deep understanding of data architecture, data modeling, and distributed data systems.
- Extensive experience with Terraform and Infrastructure as Code principles.
- Proven experience leading cloud-to-cloud data migration projects, preferably from AWS to Azure.
- Strong experience with CI/CD pipelines and Git-based version control.
- Advanced SQL skills and strong knowledge of ETL/ELT frameworks.
- Strong problem-solving skills with the ability to make architectural trade-offs and decisions.
- Excellent communication skills and ability to influence technical and non-technical stakeholders.
- Proven experience managing and developing Data Engineering teams, including mentoring, performance management, and identifying training and development needs.
- Experience managing teams with different performance levels and demonstrating measurable outcomes through coaching and development.
- Previous experience in the insurance or financial services industry, with knowledge of domains such as claims, policies, underwriting, and risk.
- Advanced English proficiency.
- Preferred Skills
- Experience implementing data governance, observability, and data quality frameworks.
- Strong knowledge of security and compliance standards in insurance or financial services.
- Experience with real-time and streaming technologies such as Kafka, Event Hubs, and Delta Live Tables.
- Familiarity with lakehouse architecture and cost/performance optimization strategies.
- Experience operating in multi-cloud or hybrid cloud environments.
- Posted On: 24-09-2026
- At Coforge, we hire professionals solely based on their skills and qualifications, and we do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.