The Role
Lead a data engineering team and own end-to-end data platform architecture, migrations (Snowflake/SSIS to Azure Databricks and dbt), scalable pipelines, Terraform IaC, CI/CD, observability, and stakeholder collaboration to deliver production-ready, high-quality data solutions.
Summary Generated by Built In
Job Title: Lead Data Engineer
Key Skills: Snowflake, Azure Databricks, DBT, Python, SQL, Terraform, CI/CD, Data Architecture, Distributed Systems, Data Migration
Experience: 8+ years of experience (including 2–3 years in Lead or Staff roles)
Location: LATAM (open to all countries in the region)
Work Model: Remote for legal residents in LATAM
Key Skills: Snowflake, Azure Databricks, DBT, Python, SQL, Terraform, CI/CD, Data Architecture, Distributed Systems, Data Migration
Experience: 8+ years of experience (including 2–3 years in Lead or Staff roles)
Location: LATAM (open to all countries in the region)
Work Model: Remote for legal residents in LATAM
At Coforge, we are looking for a Lead Data Engineer (#22145) with the following profile.
Main Responsibilities
• Lead and mentor a team of data engineers, defining technical direction and promoting engineering excellence
• Own the end-to-end architecture and design of the data platform, ensuring scalability, reliability, and alignment with business needs
• Take full ownership of delivery from design to deployment, ensuring high-quality production-ready solutions
• Define and drive data migration strategy from Snowflake / SSIS to Azure Databricks and DBT
• Collaborate with cross-functional teams (data, product, architecture, business) to translate requirements into robust technical solutions
• Design and oversee scalable data pipelines and data models with a focus on performance and maintainability
• Lead infrastructure-as-code implementation using Terraform, ensuring automation and consistency
• Establish and enforce architecture standards, design patterns, and best practices across the data ecosystem
• Ensure reliable data integration between legacy systems and Azure environments, focusing on data quality and observability
• Drive CI/CD adoption and oversee release processes for pipelines and platform components
• Act as the primary technical owner for troubleshooting complex issues and ensuring platform stability
• Maintain comprehensive documentation of architecture, design decisions, and implementation standards
• Lead and mentor a team of data engineers, defining technical direction and promoting engineering excellence
• Own the end-to-end architecture and design of the data platform, ensuring scalability, reliability, and alignment with business needs
• Take full ownership of delivery from design to deployment, ensuring high-quality production-ready solutions
• Define and drive data migration strategy from Snowflake / SSIS to Azure Databricks and DBT
• Collaborate with cross-functional teams (data, product, architecture, business) to translate requirements into robust technical solutions
• Design and oversee scalable data pipelines and data models with a focus on performance and maintainability
• Lead infrastructure-as-code implementation using Terraform, ensuring automation and consistency
• Establish and enforce architecture standards, design patterns, and best practices across the data ecosystem
• Ensure reliable data integration between legacy systems and Azure environments, focusing on data quality and observability
• Drive CI/CD adoption and oversee release processes for pipelines and platform components
• Act as the primary technical owner for troubleshooting complex issues and ensuring platform stability
• Maintain comprehensive documentation of architecture, design decisions, and implementation standards
Required Qualifications
• 8+ years of experience in Data Engineering, including 2–3 years in a Lead or Staff role
• Proven experience designing and implementing large-scale data platforms
• Strong hands-on expertise with Snowflake, Azure Databricks, DBT, and Python
• Experience handling large-scale data transformations (thousands of DBT models and pipelines processing terabytes of data daily)
• Deep understanding of data architecture, data modeling, and distributed systems
• Extensive experience with Terraform and Infrastructure-as-Code principles
• Proven experience leading cloud-to-cloud migrations (AWS to Azure preferred)
• 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 decisions and trade-offs
• Excellent communication skills with the ability to influence technical and non-technical stakeholders
• Ability to thrive in a fast-paced, ownership-driven environment
• Industry experience in insurance or financial services, with knowledge of domains such as claims, policies, underwriting, and risk
• Proven experience managing teams, including mentoring, coaching, and developing talent across performance levels
• 8+ years of experience in Data Engineering, including 2–3 years in a Lead or Staff role
• Proven experience designing and implementing large-scale data platforms
• Strong hands-on expertise with Snowflake, Azure Databricks, DBT, and Python
• Experience handling large-scale data transformations (thousands of DBT models and pipelines processing terabytes of data daily)
• Deep understanding of data architecture, data modeling, and distributed systems
• Extensive experience with Terraform and Infrastructure-as-Code principles
• Proven experience leading cloud-to-cloud migrations (AWS to Azure preferred)
• 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 decisions and trade-offs
• Excellent communication skills with the ability to influence technical and non-technical stakeholders
• Ability to thrive in a fast-paced, ownership-driven environment
• Industry experience in insurance or financial services, with knowledge of domains such as claims, policies, underwriting, and risk
• Proven experience managing teams, including mentoring, coaching, and developing talent across performance levels
Preferred Qualifications
• Experience implementing data governance, observability, and data quality frameworks
• Knowledge of security and compliance standards in financial or insurance environments
• Experience with real-time and streaming technologies (Kafka, Event Hubs, Delta Live Tables)
• Familiarity with lakehouse architecture and cost/performance optimization strategies
• Experience implementing data governance, observability, and data quality frameworks
• Knowledge of security and compliance standards in financial or insurance environments
• Experience with real-time and streaming technologies (Kafka, Event Hubs, Delta Live Tables)
• Familiarity with lakehouse architecture and cost/performance optimization strategies
Published on: 7-7-2026
At Coforge, we hire professionals based solely on their skills and qualifications, without discrimination based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Skills Required
- 8+ years of experience in Data Engineering, including 2-3 years in Lead or Staff roles
- Proven experience designing and implementing large-scale data platforms
- Hands-on expertise with Snowflake, Azure Databricks, DBT, and Python
- Experience handling large-scale data transformations (thousands of DBT models, terabytes daily)
- Deep understanding of data architecture, data modeling, and distributed systems
- Extensive experience with Terraform and Infrastructure-as-Code principles
- Proven experience leading cloud-to-cloud migrations (AWS to Azure preferred)
- Experience with SSIS and migrating legacy ETL to modern platforms
- Strong experience with CI/CD pipelines and Git-based version control
- Advanced SQL skills and strong knowledge of ETL/ELT frameworks
- Strong problem-solving and ability to make architectural decisions and trade-offs
- Excellent communication skills and ability to influence technical and non-technical stakeholders
- Industry experience in insurance or financial services (claims, policies, underwriting, risk)
- Proven experience managing teams, including mentoring, coaching, and developing talent
- Experience implementing data governance, observability, and data quality frameworks
- Knowledge of security and compliance standards in financial or insurance environments
- Experience with real-time and streaming technologies (Kafka, Event Hubs, Delta Live Tables)
- Familiarity with lakehouse architecture and cost/performance optimization strategies
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.
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The Company
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
