Lead Cloud & Data Platform Engineer

This is a fully remote position, open to applicants in Kentucky.

📋 Description

• Take full ownership of the cloud data platform from start to finish, encompassing environment provisioning, networking, security, automation, and operational readiness.

• Design and deploy cloud-native data pipelines and platform components that are scalable, observable, and cost-effective.

• Create and maintain CI/CD pipelines for data workflows, infrastructure, and application deployments utilizing Azure DevOps.

• Apply infrastructure-as-code practices (Terraform/Bicep) to automate configurations for Snowflake, Azure services, networking, and security.

• Establish and manage orchestration and monitoring frameworks, including Prefect, ADF, or similar technologies.

• Develop API-driven integrations using MuleSoft to securely link cloud and on-premises systems.

• Lead the transition to Snowflake/Databricks, which includes re-architecting pipelines, data models, and operational workflows.

• Implement platform observability features, including logging, alerting, data quality checks, and operational dashboards.

• Diagnose complex issues within the cloud and data platform, ensuring reliability and uptime.

• Work collaboratively with architects and business partners to design cloud-ready, production-quality solutions.

• Provide mentorship to engineers on best practices in cloud engineering, DevOps, and data engineering.

• Assess and introduce new cloud capabilities, tools, and automation patterns to enhance platform maturity.

⛳️ Requirements

• Extensive experience as a Cloud Engineer or Cloud Platform Engineer with practical expertise in Azure.

• Profound experience with Snowflake, including performance tuning, RBAC, automation, and cost management.

• Strong skills in Python, SQL, and contemporary ETL/ELT frameworks.

• Familiarity with implementing infrastructure-as-code (Terraform, Bicep) for cloud and data platforms.

• Experience in setting up orchestration frameworks (Prefect, ADF, Airflow, Dagster).

• Proficient in CI/CD pipelines and Git-based workflows.

• Background in API-driven integrations (MuleSoft preferred).

• Comprehensive understanding of cloud architecture, distributed systems, and platform engineering.

• Capability to lead technical initiatives autonomously and influence platform-level decisions.

• Strong analytical skills and the ability to thrive in ambiguous, fast-paced environments.

• Experience with healthcare data is a plus.

🏝️ Benefits

• Medical, dental, and vision benefits.

• 401(k) retirement savings plan.

• Paid time off, including company holidays and personal days.

• Paid parental and caregiver leave.

• Short-term and long-term disability coverage.

• Life insurance.

• Wellness programs and numerous other opportunities.