Platform Engineer

LendingTree•Charlotte, NC

12h•Hybrid

About The Position

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.

Requirements

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.

Nice To Haves

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.

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.