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EncoraLead Data Engineer
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Before you apply
LocationLatin America, Peru
Work moderemote
SeniorityLead
Experience8+ yrs
DepartmentCSA Billable
Company size10,000+ people
PostedOct 12, 2026 · 3w ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
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
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
Skills
Azure Databricks
Snowflake
DBT
Python
SQL
Terraform
Data Architecture
ETL
ELT
Data Migration
CI/CD
Data Modeling
Kafka
Event Hubs
Delta Live Tables
About the role
Job Title: Lead Data Engineer
Requirements
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.
Posted On: 12-10-2026
Legal
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.