Lead Data Engineer at Encora (Bolivia)Lead Data Engineer

- Lead and mentor a team of data engineers, setting technical direction, conducting code reviews, and driving engineering excellence across the data ecosystem.

- Own the end-to-end architecture, design, and implementation of scalable data platforms, pipelines, and data models, ensuring reliable and production-ready solutions.

- Define and lead data migration strategies from Snowflake/SSIS to Azure Databricks and DBT, including architecture decisions, cloud integration, data quality, and observability.

- Drive Infrastructure as Code with Terraform, CI/CD adoption, architectural standards, troubleshooting, and collaboration with data, product, architecture, and business stakeholders.

Required Skills & Qualifications

- 8+ years of Data Engineering experience, including 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, Python, and advanced SQL.

- Experience with large-scale data transformations involving thousands of DBT models and pipelines processing terabytes of data daily.

- Deep understanding of data architecture, data modeling, distributed data systems, and ETL/ELT frameworks.

- Extensive experience with Terraform, Infrastructure as Code, CI/CD pipelines, and Git-based version control.

- Experience leading cloud-to-cloud data migration projects, preferably from AWS to Azure.

- Previous experience in insurance or financial services, with knowledge of domains such as claims, policies, underwriting, and risk.

- Proven experience leading and developing engineering teams, including mentoring, training, and managing different performance levels.

- Strong problem-solving, architectural decision-making, communication, and stakeholder management skills.

Preferred Skills:

- Experience implementing data governance, observability, and data quality frameworks.

- Strong knowledge of security and compliance standards within insurance or financial services.

- Experience with Kafka, Event Hubs, Delta Live Tables, or other real-time and streaming technologies.

- Familiarity with lakehouse architectures and cost/performance optimization strategies.

- Experience working in multi-cloud or hybrid cloud environments.

Posted On: 12-10-2026

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