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Platform/SRE Engineer(Snowflake-focused)

$130k - $150k
Full-time

Harvey Nash Group

Job Title: Platform/SRE Engineer(Snowflake-focused)

Location: Charlotte, NC, Denver, CO, or Seattle WA

FTE/Perm

  US citizens and Green Card Holders and those authorized to work in the US are encouraged to apply. We are unable to sponsor  H1b candidates at this time

Job Description

 

Platform Engineer

 

About the Role:

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:

 

Platform Engineering

  • 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.

Snowflake Platform

  • 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.

Cloud & Platform Automation

  • 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.

Data Platform Operations

  • 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.

Operational Support

  • 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.

Security & Reliability

  • Implement and maintain IAM, auditing, logging, and security controls across the platform.
  • Promote automation-first operational practices and platform engineering standards.

Collaboration

  • 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.

A reasonable, good faith estimate of the minimum and maximum base salary for this position is $130 K to $150 K per year with Bonus. Employee benefits will also be available, and details are available like Pension/401K/ Paid Vacation/ Life, Medical & Dental insurance etc.

* The pay range listed above reflects the expected starting salary /Pay rate for this role. This range may be adjusted based on market conditions, location, and other relevant factors. The Company will determine the final starting salary/Pay rate in consultation with the selected candidate(s), in full compliance with applicable laws

Vacancy posted 4 days ago
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