Job Title: Lead Data Engineer
Key Skills: Data Engineering, Azure Databricks, Snowflake, dbt, Python, SQL, Terraform, Data Architecture, ETL/ELT, CI/CD, Data Migration
Experience: +8 years of experience.
Location: Costa Rica, Peru, Colombia, Bolivia.
Work Mode: Remote.
At Coforge, we are hiring Lead Data Engineer (#21015-37-1) with the following skill set.
Key Responsibilities
• Lead and mentor a team of Data Engineers, providing technical direction, conducting code reviews, and promoting engineering excellence.
• Own the end-to-end architecture and design of scalable, reliable data platforms aligned with business needs.
• Lead implementation delivery from design through deployment, ensuring high-quality and production-ready solutions.
• Define and drive data migration strategies from Snowflake and SSIS to Azure Databricks and dbt.
• Design and oversee scalable data pipelines and data models, ensuring performance, maintainability, data quality, and observability.
• Lead the implementation of Infrastructure as Code using Terraform and drive CI/CD adoption across data platforms and pipelines.
• Collaborate with Data, Product, Architecture, and Business teams to translate requirements into robust technical solutions.
• Act as the primary technical owner for complex troubleshooting and long-term platform stability.
• Establish architectural standards, design patterns, and engineering best practices across the data ecosystem.
Required Skills & Qualifications
• 8+ years of experience in Data Engineering, with 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, and Python.
• Experience working with large-scale data transformations involving thousands of dbt models and data pipelines processing terabytes of data daily.
• Deep understanding of data architecture, data modeling, and distributed data systems.
• Extensive experience with Terraform and Infrastructure as Code principles.
• Proven experience leading cloud-to-cloud data migration projects, preferably from AWS to Azure.
• Strong experience with CI/CD pipelines and Git-based version control.
• Advanced SQL skills and strong knowledge of ETL/ELT frameworks.
• Strong problem-solving skills with the ability to make architectural trade-offs and decisions.
• Excellent communication skills and ability to influence technical and non-technical stakeholders.
• Proven experience managing and developing Data Engineering teams, including mentoring, performance management, and identifying training and development needs.
• Experience managing teams with different performance levels and demonstrating measurable outcomes through coaching and development.
• Previous experience in the insurance or financial services industry, with knowledge of domains such as claims, policies, underwriting, and risk.
• Advanced English proficiency.
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 strategies.
• Experience operating in multi-cloud or hybrid cloud environments.
Posted On: 24-09-2026
At Coforge, we hire professionals solely based on their skills and qualifications, and we 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 of experience 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 data transformations involving thousands of dbt models and terabytes of daily data processing
- Strong understanding of data architecture, data modeling, and distributed data systems
- Extensive Terraform and Infrastructure as Code experience
- Experience leading cloud-to-cloud data migration projects, preferably AWS to Azure
- Experience with CI/CD pipelines and Git-based version control
- Advanced SQL and strong ETL/ELT framework knowledge
- Strong problem-solving and architectural decision-making skills
- Excellent communication skills with technical and non-technical stakeholders
- Experience managing and developing data engineering teams, including mentoring, performance management, and training development
- Experience managing teams with different performance levels and demonstrating measurable coaching outcomes
- Previous insurance or financial services industry experience, including claims, policies, underwriting, or risk domains
- Advanced English proficiency
- Experience with data governance, observability, and data quality frameworks
- Knowledge of security and compliance standards in insurance or financial services
- Experience with Kafka, Event Hubs, or Delta Live Tables
- Familiarity with lakehouse architecture 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
