Lead Data Engineer

Encora Inc.; Lima Metropolitana; Remoto; PEN 482.000 - 654.000; Tempo pieno

Descrizione del lavoro

Coforge is seeking a Lead Data Engineer to own architecture, design scalable data platforms, and drive data migration initiatives. You will mentor engineers, ensure production-ready pipelines, and collaborate with stakeholders across data, product, and business units.

The role emphasizes hands-on work with Snowflake, Azure Databricks, DBT, Python, and SQL, plus IaC with Terraform and CI/CD practices.

Competenze

• 8+ years in data engineering with 2–3 years in lead or staff roles.
• Proven experience designing large-scale data platforms.
• Strong hands-on with Snowflake, Azure Databricks, DBT, Python, and advanced SQL.
• Experience with large-scale ETL/ELT pipelines processing terabytes 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 domain knowledge in claims, policies, underwriting, risk.
• Proven experience leading and developing engineering teams, including mentoring and performance management.
• Strong problem-solving, architectural decision-making, and stakeholder management.

Mansioni

• Lead and mentor a team of data engineers, setting technical direction and conducting code reviews.
• Own end-to-end architecture, design, and implementation of scalable data platforms and models.
• Define data migration strategies from Snowflake/SSIS to Azure Databricks and DBT.
• Drive Infrastructure as Code with Terraform, CI/CD adoption, and governance.

Conoscenze

Azure Databricks

Snowflake

DBT

Python

SQL

Terraform

Data Architecture

ETL/ELT

Data Migration

CI/CD

Data Modeling

Strumenti

Terraform

Snowflake

Azure Databricks

DBT

Descrizione del lavoro

Lead Data Engineer

Key Skills: Azure Databricks, Snowflake, DBT, Python, SQL, Terraform, Data Architecture, ETL/ELT, Data Migration, CI/CD, Data Modeling

Experience: 8+ YOE.

Location: Costa Rica, Peru, Colombia, Bolivia

Mode: Remote

We at Coforge are hiring Lead Data Engineer (#22145) with the following skill set.

Key Responsibilities

• 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.

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.