Lead Cloud & Data Platform Engineer

We are seeking a highly skilled Lead Cloud & Data Platform Engineer to join our Home Health Data Engineering team. This role is ideal for someone who is passionate about building cloud data ecosystems from the ground up—including platform setup, infrastructure automation, orchestration frameworks, CI/CD, and scalable data pipelines.

You will serve as the technical owner of our Azure‑and Snowflake‑based data platform, responsible for designing, provisioning, automating, and optimizing the full data ecosystem. This includes everything from infrastructure‑as‑code and Dev Ops pipelines to data orchestration, monitoring, and cloud‑native services.

This role is perfect for a cloud engineer who also brings strong data engineering expertise and wants to shape a modern, automated, cloud‑native data platform.

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 Dev Ops.
• 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 Mule Soft 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, Dev Ops, 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, Dev Ops, Networking, Key Vault)
• Python
• Prefect (or similar orchestration tools)
• Mule Soft
• Terraform / Bicep
• CI/CD tooling

Use your skills to make an impact

What You Bring

• Strong experience as a Cloud Engineer or Cloud Platform Engineer with hands‑on Azure expertise (Functions, ADF, Storage, Key Vault, Networking, Dev Ops).
• 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 (Mule Soft preferred).
• Strong understanding of cloud architecture, distributed systems, and platform engineering
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• 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
• Mul…