Lead Data Engineer (Insurance)

TL;DR

Lead Data Engineer (Insurance): Architect, develop, and lead end-to-end data migration from Snowflake on AWS to Azure Databricks and DBT with an accent on scalable pipelines, infrastructure-as-code, and governance. Focus on designing Terraform-based infrastructure, optimizing data flows, implementing transformation frameworks, and establishing CI/CD standards.

Location: Brazil (Work from home)

Company

Digital engineering partner specializing in Data & Analytics, Cloud Services, AI, and modernization for global enterprises.

What you will do

• Lead and mentor data engineering team with technical guidance, code reviews, and best practices.
• Own data migration strategy from Snowflake on AWS to Azure Databricks and DBT, including planning and optimization.
• Collaborate with data, product, architecture, and business teams to align initiatives with goals.
• Architect scalable data pipelines and infrastructure in Azure using Terraform.
• Oversee data integration, transformation frameworks, governance, and CI/CD workflows.
• Identify risks, troubleshoot issues, and lead documentation efforts.

Requirements

• Mandatory experience in the insurance industry, understanding policies, claims, and underwriting data.
• Proven leadership of data engineering teams and large-scale data platforms.
• Hands-on with Snowflake, Azure Databricks, DBT, Terraform, CI/CD, and Git.
• Cloud data migration experience (AWS to Azure preferred).
• Advanced SQL, data modeling, ETL/ELT, architecture, scalability, and optimization.

Nice to have

• Data governance frameworks, lineage, quality, and observability tools.
• Security/compliance for insurance data.
• Streaming processing with Kafka, Event Hubs, or Delta Live Tables.
• Lakehouse architectures and cost-optimization.
• Multi-cloud and advanced automation.

Culture & Benefits

• Fast-paced, collaborative environment.
• Hire based on skills, no discrimination by age, disability, religion, gender, orientation, status, or nationality.
• Work from home in Brazil.