Lead Cloud & Data Platform Engineer
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Job Description
Lead Cloud and Data Platform Engineer developing automated data ecosystems for healthcare provider. Designing, provisioning, and optimizing the full data ecosystem on Azure and Snowflake.
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
- 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.
Benefits:
- Medical, dental and vision benefits
- 401(k) retirement savings plan
- Paid time off, including company and personal holidays
- Paid parental and caregiver leave
- Short-term and long-term disability
- Life insurance
- Wellness programs and many other opportunities
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