Lead Data Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 3h ago
The date the source published, not the day we noticed it (2026-10-12). Last seen at its source 2h ago.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
Colombia
The description agrees: it names Costa Rica, Peru, Colombia, Bolivia.
What the ad says
…Location: Costa Rica, Peru, Colombia, Bolivia Mode: Remote We at Cofor…
Pay not stated
Similar roles pay $3,375–6,000/mo
Middle 50% of 15 listings that do state pay — Engineering · all levels · Colombia · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Greenhouse employer's own board first seen 2h ago · last seen 2h ago
The listing
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
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Lead and mentor a team of data engineers, setting technical direction, conducting code reviews, and driving engineering excellence across the data ecosystem.
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Own the end-to-end architecture, design, and implementation of scalable data platforms, pipelines, and data models, ensuring reliable and production-ready solutions.
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Define and lead data migration strategies from Snowflake/SSIS to Azure Databricks and DBT, including architecture decisions, cloud integration, data quality, and observability.
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Drive Infrastructure as Code with Terraform, CI/CD adoption, architectural standards, troubleshooting, and collaboration with data, product, architecture, and business stakeholders.
Required Skills & Qualifications
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8+ years of Data Engineering experience, including at least 2–3 years in a Lead or Staff-level role.
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Proven experience owning system design and leading implementations of large-scale data platforms.
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Strong hands-on expertise with Snowflake, Azure Databricks, DBT, Python, and advanced SQL.
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Experience with large-scale data transformations involving thousands of DBT models and pipelines processing terabytes of data daily.
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Deep understanding of data architecture, data modeling, distributed data systems, and ETL/ELT frameworks.
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Extensive experience with Terraform, Infrastructure as Code, CI/CD pipelines, and Git-based version control.
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Experience leading cloud-to-cloud data migration projects, preferably from AWS to Azure.
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Previous experience in insurance or financial services, with knowledge of domains such as claims, policies, underwriting, and risk.
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Proven experience leading and developing engineering teams, including mentoring, training, and managing different performance levels.
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Strong problem-solving, architectural decision-making, communication, and stakeholder management skills.
Preferred Skills:
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Experience implementing data governance, observability, and data quality frameworks.
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Strong knowledge of security and compliance standards within insurance or financial services.
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Experience with Kafka, Event Hubs, Delta Live Tables, or other real-time and streaming technologies.
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Familiarity with lakehouse architectures and cost/performance optimization strategies.
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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.