Is the Lead Data Engineer position at Encora fully remote?

Yes, this Lead Data Engineer position at Encora is fully remote and you can work from anywhere in the world.

Is this a full-time or part-time Lead Data Engineer role?

This is a full-time Lead Data Engineer position at Encora.

How do I apply for the Lead Data Engineer position at Encora?

You can apply for this Lead Data Engineer position by clicking the "Apply Now" button on this page, which will take you to Encora's application portal.

Remote Opportunity

Lead Data Engineer

Join Encora as a staff professional working remotely from Worldwide. Explore the role, benefits, and apply in one place.

Lead Data Engineer

Encora

Full Time

4 weeks ago

Job Title: Lead Data Engineer Key Skills: Azure Databricks, DBT, Snowflake, Python, Terraform, Data Architecture Experience: 8+ YOE. Location: Costa Rica, Peru, Colombia, and Bolivia. Mode: Remote. We at Coforge are hiring Lead Data Engineer (#22145) with the following skill set.

Worldwide

Engineering

Staff

Azure Databricks

dbt

Snowflake

+5 more

Job Description

Job Title: Lead Data Engineer
Key Skills: Azure Databricks, DBT, Snowflake, Python, Terraform, Data Architecture
Experience: 8+ YOE.
Location: Costa Rica, Peru, Colombia, and 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, driving technical excellence, code quality, and engineering best practices.
· Own the end-to-end architecture and design of the data platform, ensuring scalability, reliability, and alignment with business objectives.
· Take full ownership of solution delivery, from architecture and design to deployment and production support.
· Define and drive data migration strategies from Snowflake and SSIS to Azure Databricks and DBT.
· Design and oversee the implementation of scalable data pipelines, data models, and enterprise data solutions.
· Lead Infrastructure as Code initiatives using Terraform to ensure consistency, automation, and scalability across environments.
· Establish architectural standards, design patterns, and governance practices across the data ecosystem.
· Ensure reliable and efficient integration between legacy platforms and Azure-based environments.
· Drive CI/CD adoption and oversee release management processes for data platforms and pipelines.
· Act as the primary technical escalation point for complex issues and long-term platform stability.
· Collaborate closely with product, architecture, business, and engineering stakeholders to deliver enterprise-grade solutions.
· Maintain architecture documentation, design standards, and implementation guidelines.

Required Skills & Qualifications
· 8+ years of experience in Data Engineering, including 2-3+ years in a Lead or Staff-level role.
· Proven experience leading the design and implementation of large-scale enterprise data platforms.
· Strong hands-on expertise with Azure Databricks, DBT, Snowflake, Python, and SQL.
· Experience delivering large-scale data transformation programs involving thousands of DBT models and data pipelines processing terabytes of data daily.
· Deep understanding of data architecture, data modeling, ETL/ELT frameworks, and distributed data systems.
· Extensive experience with Terraform and Infrastructure as Code (IaC) principles.
· Experience leading cloud migration initiatives, preferably from AWS to Azure.
· Strong experience with Git-based version control and CI/CD pipelines.
· Strong analytical and problem-solving skills with the ability to make architectural decisions and trade-offs.
· Excellent communication and stakeholder management skills.
· Experience working in insurance or financial services environments, including domains such as claims, underwriting, policies, and risk management.
· Experience leading engineering teams and demonstrating measurable delivery success.
· Experience managing and mentoring team members across different performance levels, driving growth, development, and continuous improvement.

Preferred Skills
· Experience implementing data governance, observability, and data quality frameworks.
· Strong understanding of security and compliance standards within insurance or financial services organizations.
· Experience working with real-time and streaming technologies such as Kafka, Event Hubs, or Delta Live Tables.
· Familiarity with Lakehouse architectures and cloud cost/performance optimization strategies.
· Experience operating in hybrid cloud or multi-cloud environments.

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.

Skills

Azure Databricks

dbt

Snowflake

Python

Terraform

Data Architecture

SQL

Data Modeling

Ready to Apply?

Join Encora today

Posted 4 weeks ago

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