Job Title: Lead Data Engineer
Key Skills: Data Engineering, Azure Databricks, Snowflake, DBT, Python, Terraform, Data Architecture, Data Modeling, SQL, ETL/ELT, CI/CD, Data Migration
Experience: 8+ YOE.
Location: Costa Rica, Perú, Colombia, Bolivia.
Mode: Remote.
We at Coforge are hiring Lead Data Engineer (#16277-1-1) with the following skill set.
Key Responsibilities
Lead and mentor data engineering teams while setting technical direction, conducting code reviews, and driving engineering excellence.
Own the end-to-end architecture, design, and implementation of scalable and reliable data platforms, ensuring production-ready delivery.
Define and drive data migration strategies from Snowflake/SSIS to Azure Databricks and DBT, including architecture decisions and execution oversight.
Oversee scalable data pipelines, data models, Terraform infrastructure, CI/CD, data integration, observability, and platform stability across Azure and legacy environments.
Required Skills & Qualifications
8+ years of experience in Data Engineering, with 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, including thousands of DBT models and data pipelines processing terabytes of data daily.
Deep understanding of data architecture, data modeling, distributed data systems, and ETL/ELT frameworks.
Extensive experience with Terraform and Infrastructure-as-Code principles.
Demonstrated experience leading cloud-to-cloud data migration projects, preferably AWS to Azure.
Strong experience with CI/CD pipelines, Git-based version control, and advanced SQL.
Strong problem-solving skills with the ability to make architectural trade-offs and technical decisions.
Proven experience managing and developing teams across different performance levels through mentoring, training, and development.
Previous experience in insurance or financial services, with knowledge of claims, policies, underwriting, and risk domains, plus strong communication skills.
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.
Experience operating in multi-cloud or hybrid cloud environments.
Posted On: 24-09-2026
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.
Skills Required
- 8+ years of experience in data engineering
- 2-3+ years in a lead or staff-level role
- Experience owning system design and leading implementations of large-scale data platforms
- Hands-on expertise with Snowflake, Azure Databricks, dbt, and Python
- Experience with large-scale dbt models and data pipelines processing terabytes of data daily
- Understanding of data architecture, data modeling, distributed data systems, and ETL/ELT frameworks
- Extensive Terraform and infrastructure-as-code experience
- Experience leading cloud-to-cloud data migration projects, preferably AWS to Azure
- Experience with CI/CD pipelines, Git-based version control, and advanced SQL
- Strong problem-solving skills and ability to make architectural trade-offs and technical decisions
- Experience managing and developing teams through mentoring, training, and development
- Previous insurance or financial services experience, including claims, policies, underwriting, and risk domains
- Strong communication skills
- Experience with data governance, observability, and data quality frameworks
- Knowledge of security and compliance standards in insurance or financial services
- Experience with Kafka, Azure Event Hubs, or Delta Live Tables
- Familiarity with lakehouse architecture and cost/performance optimization
- Experience operating in multi-cloud or hybrid cloud environments
Encora Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Encora and has not been reviewed or approved by Encora.
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Healthcare Strength — Health coverage is described as employer-provided in multiple locations, with private plans and family coverage highlighted in Spain and Mexico. Medical insurance quality is presented as a recurring bright spot alongside standard coverage.
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Leave & Time Off Breadth — Time off includes paid holidays and PTO, with regional materials indicating additional leave provisions in certain countries. Leave is generally portrayed as conventional to generous depending on location.
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Flexible Benefits — Work-from-home flexibility is frequently highlighted as a plus, though it varies by role and client needs. Remote and hybrid options are positioned as part of the overall package.
Encora Insights
What We Do
Headquartered in Santa Clara, California, and backed by renowned private equity firms Advent International and Warburg Pincus, Encora is the preferred technology modernization and innovation partner to some of the world’s leading enterprise companies. It provides award-winning digital engineering services including Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. Encora's deep cluster vertical capabilities extend across diverse industries, including HiTech, Healthcare & Life Sciences, Retail & CPG, Energy & Utilities, Banking Financial Services & Insurance, Travel, Hospitality & Logistics, Telecom & Media, Automotive, and other specialized industries. With over 9,000 associates in 47+ offices and delivery centers across the U.S., Canada, Latin America, Europe, India, and Southeast Asia, Encora delivers nearshore agility to clients anywhere in the world, coupled with expertise at scale in India. Encora’s Cloud-first, Data-first, AI-first approach enables clients to create differentiated enterprise value through technology
