Job Title: 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.
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.
Skills Required
- 8+ years of data engineering experience
- 2-3 years in a Lead or Staff-level role
- Experience owning system design and leading large-scale data platform implementations
- Hands-on expertise with Snowflake, Azure Databricks, DBT, Python, and advanced SQL
- Experience with large-scale data transformations involving DBT models and terabytes of daily data
- 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 AWS to Azure
- Previous experience in insurance or financial services, including claims, policies, underwriting, or risk domains
- Experience leading and developing engineering teams through mentoring, training, and performance management
- Strong problem-solving, architectural decision-making, communication, and stakeholder management skills
- Experience implementing data governance, observability, and data quality frameworks
- Knowledge of security and compliance standards in insurance or financial services
- Experience with Kafka, Event Hubs, Delta Live Tables, or other streaming technologies
- Familiarity with lakehouse architectures and cost/performance optimization
- Experience 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
