Lead Cloud & Data Platform Engineer

Humana•Louisville, KY

3d•$129,300 - $177,800•Remote

About The Position

Humana is seeking a Lead Cloud & Data Platform Engineer for its Home Health Data Engineering team. The role is the technical owner of an Azure- and Snowflake-based data platform, responsible for designing, provisioning, automating, and optimizing the full data ecosystem. This includes infrastructure-as-code, DevOps pipelines, orchestration, monitoring, cloud-native services, and scalable data pipelines. The engineer will lead modernization to Snowflake and Databricks, establish platform observability and operational readiness, troubleshoot complex platform issues, and collaborate with architects and business partners on production-grade solutions. The position also includes mentoring engineers and evaluating new capabilities and automation patterns. The job is remote, with occasional travel to Humana offices for training or meetings.

Requirements

Strong experience as a Cloud Engineer or Cloud Platform Engineer, with hands-on Azure expertise, including Functions, ADF, Storage, Key Vault, Networking, and DevOps.
Deep Snowflake experience, including performance tuning, RBAC, automation, and cost optimization.
Strong proficiency in Python, SQL, and modern ETL/ELT frameworks.
Experience implementing infrastructure-as-code for cloud and data platforms.
Experience setting up orchestration frameworks such as Prefect, ADF, Airflow, or Dagster.
Experience with CI/CD pipelines and Git-based workflows.
Experience with API-driven integrations; MuleSoft is 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 work in ambiguous, fast-moving environments.
Experience working on the Azure cloud platform.
Python coding skills.
Experience with Snowflake or Databricks, particularly writing SQL queries.
Experience with a CI/CD tool and understanding of Git check-ins and CI/CD setup.
Experience with an ETL or orchestration tool.
Ability to meet the home-work internet requirements: at least 25 Mbps download and 10 Mbps upload; a dedicated workspace without ongoing interruptions to protect member PHI/HIPAA information.

Nice To Haves

Healthcare data experience.
Experience with more than one cloud platform, such as AWS or GCP.
Experience with Terraform or Bicep.
Experience with Prefect.
Experience with MuleSoft.

Responsibilities

Own the cloud data platform end to end, including environment provisioning, networking, security, automation, and operational readiness.
Design and implement scalable, observable, cost-efficient cloud-native data pipelines and platform components.
Build and maintain CI/CD pipelines for data workflows, infrastructure, and application deployments using Azure DevOps.
Implement infrastructure-as-code using Terraform or Bicep to automate Snowflake, Azure services, networking, and security configurations.
Set up and manage orchestration and monitoring frameworks, including Prefect, ADF, or similar tools.
Develop API-driven integrations using MuleSoft to securely connect cloud and on-premises systems.
Lead modernization to Snowflake and Databricks, including re-architecting pipelines, data models, and operational workflows.
Establish platform observability through logging, alerting, data quality checks, and operational dashboards.
Troubleshoot complex cloud and data platform issues to ensure 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 cloud capabilities, tools, and automation patterns to improve platform maturity.