Lead Cloud & Data Platform Engineer

Humana is a healthcare company seeking a Lead Cloud & Data Platform Engineer for its Home Health Data Engineering team. The role owns the Azure- and Snowflake-based data platform end to end, including infrastructure automation, CI/CD, orchestration, monitoring, integrations, scalable data pipelines, and platform modernization. The engineer will also lead technical initiatives, collaborate with architects and business partners, troubleshoot platform issues, and mentor engineers.

Responsibilities:

• 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

Requirements:

• 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
• 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
• 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
• MuleSoft preferred
• Healthcare data experience is a plus
• Worked on more than one Cloud platform like AWS or GCP
• Experience in Terraform or Bicep
• Experience in Prefect
• Mulesoft