Lead Cloud & Data Platform Engineer
Key Skills for This Role
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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
What You Bring
- 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.
- Required Skills
- 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
- Scheduled Weekly Hours
- Pay Range
- Description of Benefits
About us
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.
About Humana
Health insurance and care services provider.
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