Platform Engineer

LendingTree; Charlotte (NC); Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

Wellness programs

Time-off policies

Job summary

LendingTree is seeking a Platform Engineer to join our Platform Operations team in Charlotte, NC. You will build, automate, and operate our cloud-based data platform with a primary focus on Snowflake, CI/CD, and AWS/Azure cloud services.

This hands-on role centers on improving platform reliability, scalability, automation, and observability. Hybrid work with in-office Tue–Thu in Charlotte, and relocation is preferred.

Qualifications

• 4+ years in Platform/Cloud Engineering, DevOps, or related ops.
• Hands-on Snowflake administration and data platform experience.
• CI/CD design and deployment automation for databases or platforms.
• Experience with AWS and/or Azure and production on-call support.

Responsibilities

• Operate and improve a cloud-based data platform with Snowflake focus.
• Build automation to enhance reliability, scalability, and efficiency.
• Monitor health, performance, cost, and security; implement fixes.
• Design and maintain CI/CD pipelines for deployments.
• Automate deployments and operational workflows with scripting.
• Support integrations between Snowflake and AWS/Azure services.
• Troubleshoot production issues across data pipelines and infra.
• Improve observability, monitoring, and incident response.

Skills

Snowflake

CI/CD

Python

SQL

Bash

Git

Cloud platforms

Automation

On-call support

Troubleshooting

Tools

Liquibase

Redgate

GitLab

Terraform

Confluent Kafka

Airflow

Job description

About the Role

PLEASE NOTE: This position ideally works a hybrid schedule in Charlotte, NC. (Tuesday-Thursday in-office). Strong preference for candidates who are in Charlotte, NC, or willing to relocate.

LendingTree is seeking a Platform Engineer to join our Platform Operations team. You will build, automate, and operate our cloud‑based data platform with a primary focus on Snowflake, CI/CD, and AWS/Azure cloud services. This is a hands‑on engineering role focused on improving platform reliability, scalability, automation, and operational excellence. You’ll partner closely with Data Engineering and Infrastructure teams to eliminate operational toil through automation, modern deployment practices, and observability.

Key Responsibilities

• Operate and continuously improve our cloud‑based data platform with a primary focus on Snowflake.
• Build automation that improves platform reliability, scalability, and operational efficiency.
• Monitor platform health, performance, availability, and cost while proactively identifying opportunities for improvement.
• Administer Snowflake environments, including security, RBAC, warehouses, databases, schemas, and resource optimization.
• Monitor and tune query performance, warehouse utilization, and platform costs.
• Support secure data sharing, governance, and operational best practices.
• Design, build, and maintain CI/CD pipelines for database and platform deployments using GitLab and tools such as Liquibase or Redgate.
• Automate deployments and operational workflows using Python, SQL, Bash, or similar scripting languages.
• Support integrations between Snowflake and AWS/Azure services, including object storage, serverless functions, messaging, and identity services.
• Support ETL/ELT pipelines and streaming platforms, including Confluent Kafka.
• Troubleshoot production issues across data pipelines, cloud infrastructure, and platform services.
• Improve operational readiness through monitoring, alerting, logging, and observability.
• Participate in an on‑call rotation to support production data platform services and respond to critical incidents.
• Perform root‑cause analysis (RCA) and implement permanent fixes to improve platform reliability and reduce recurring incidents.
• Collaborate with cross‑functional teams during incident response and post‑incident reviews.
• Implement and maintain IAM, auditing, logging, and security controls across the platform.
• Promote automation‑first operational practices and platform engineering standards.
• Partner with Data Engineering, Analytics, Infrastructure, and business stakeholders to deliver reliable platform services.
• Contribute to platform architecture discussions and operational best practices.

Required Qualifications

• 4+ years of experience in Platform Engineering, Cloud Engineering, DevOps, Site Reliability Engineering, or Data Platform Operations.
• Strong hands‑on experience administering and supporting Snowflake.
• Designing and maintaining CI/CD pipelines for database or platform deployments.
• Working with AWS and/or Azure cloud platforms.
• Supporting ETL/ELT pipelines and streaming technologies such as Confluent Kafka.
• Strong scripting skills using Python, SQL, Bash, or similar languages.
• Experience with Git‑based development workflows.
• Supporting production systems in an on‑call or operational support environment.
• Strong troubleshooting skills across cloud infrastructure, distributed systems, and production environments.

Preferred Qualifications

• Infrastructure‑as‑Code (Terraform or CloudFormation).
• Workflow orchestration tools such as Airflow.
• Serverless and event‑driven architectures.
• Cloud monitoring, observability, and cost optimization tools.
• Supporting enterprise data platforms.

What Success Looks Like

You’re an automation‑first platform engineer who takes ownership of the reliability and scalability of the data platform. You build automation instead of manual processes, improve developer experience through modern CI/CD practices, proactively enhance platform performance, security, and operational excellence, participate in the team’s on‑call rotation, and continuously improve platform stability by eliminating recurring operational issues.

Benefits

We’re proud to offer generous benefits, wellness programs, and time‑off policies designed to help you recharge, stay healthy, and bring your best self to work every day.

LendingTree is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion (or creed), gender, gender expression, age, national origin, disability, marital status, sexual orientation, or military status.