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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Cloud & Data Platform Engineer - **Company:** Humana Inc. - **Location:** Louisville, KY, United States (Remote available) - **Experience:** Expert - **Salary:** $129,300 - $177,800 - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Continuous Integration, Data Validation, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Dataspaces, Database Queries, DevOps, Distributed Systems, Internet Services, Python (Programming Language), Performance Tuning, Role-Based Access Control, Cloud Services, DataOps, Software Deployment, SQL Databases, Systems Integration, Data Logging, Cloud Platform System, Delivery Pipeline, Snowflake, Git, Git Flow, Kubernetes, Infrastructure Automation Frameworks, Bicep, Data Management, Api Design, Terraform, Data Pipelines, Serverless Computing, Key Vault, Mulesoft, Databricks - **Published:** October 26, 2026 - **Apply:** https://www.louisvillegigs.net/job.asp?id=3466885287&tx=KR5151FFL&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Strong experience as a Cloud Engineer or Cloud Platform Engineer with hands-on Azure expertise (Functions, ADF, Storage, Key Vault, Networking, DevOps). * Deep experience with Snowflake , including performance tuning, RBAC, automation, and cost optimization. * Strong proficiency in Python, SQL , and modern ETL/ELT frameworks. * Experience implementing infrastructure-as-code (Terraform, Bicep) for cloud and data platforms. * Experience setting up orchestration frameworks (Prefect, ADF, Airflow, Dagster). * Experience with CI/CD pipelines and Git-based workflows. * Experience with API-driven integrations (MuleSoft preferred). * Strong understanding of cloud architecture, distributed systems, and platform engineering . * Ability to lead technical initiatives independently and drive platform-level decisions. * Strong problem-solving skills and ability to operate in ambiguous, fast-moving environments. * Healthcare data experience is a plus., * Worked on Azure cloud Platform * Python coding * Snowflake or Databricks ( essentially expert in writing SQL queries ) * Working experience on any CI/CD tool ( understanding of how Git check in works and how CI/CD setup works ) * Experience working on any ETL or orchestration tool Preferred skills * Worked on more than one Cloud platform like AWS or GCP * Experience in Terraform or Bicep * Experience in Prefect * Mulesoft Work at Home Requirements: To ensure Home or Hybrid Home/Office employees' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. In certain roles, the minimum recommended internet speed required by Humana may not be sufficient for business needs. Humana reserves the right to require associates to upgrade their internet service if necessary. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information. Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. ## Description We are seeking a highly skilled Lead Cloud & Data Platform Engineer to join our Home Health Data Engineering team. This role is ideal for someone who is passionate about building cloud data ecosystems from the ground up-including platform setup, infrastructure automation, orchestration frameworks, CI/CD, and scalable data pipelines. You will serve as the technical owner of our Azure- and Snowflake-based data platform, responsible for designing, provisioning, automating, and optimizing the full data ecosystem. This includes everything from infrastructure-as-code and DevOps pipelines to data orchestration, monitoring, and cloud-native services. This role is perfect for a cloud engineer who also brings strong data engineering expertise and wants to shape a modern, automated, cloud-native data platform. What You Will Be Doing * Own the cloud data platform end-to-end , including environment provisioning, networking, security, automation, and operational readiness. * Design and implement cloud-native data pipelines and platform components that are scalable, observable, and cost-efficient. * Build and maintain CI/CD pipelines for data workflows, infrastructure, and application deployments using Azure DevOps. * Implement infrastructure-as-code (Terraform/Bicep) to automate Snowflake, Azure services, networking, and security configurations. * Set up and manage orchestration & monitoring frameworks , including Prefect, ADF, or similar tools. * Develop API-driven integrations using MuleSoft to connect cloud and on-prem systems securely. * Lead the modernization to Snowflake/Databricks , including re-architecting pipelines, data models, and operational workflows. * Establish platform observability , including logging, alerting, data quality checks, and operational dashboards. * Troubleshoot complex cloud and data platform issues , ensuring reliability and uptime. * Collaborate with architects and business partners to design cloud-ready, production-grade solutions. * Mentor engineers on cloud engineering, DevOps, and data engineering best practices. * Evaluate and introduce new cloud capabilities , tools, and automation patterns to improve platform maturity. Technologies You Will Work With * Snowflake * Azure (ADF, Functions, Storage, DevOps, Networking, Key Vault) * Python * Prefect (or similar orchestration tools) * MuleSoft * Terraform / Bicep * CI/CD tooling