Data Reliability Engineer - Remote

+3 years of experience in DataOps, data engineering, SRE, or a related role with a focus on maintaining and scaling data platforms. Experience applying SRE principles including CI/CD, automation, IaC. Hands-on experience with cloud-based data platform tools like Fivetran, Monte Carlo, Snowflake, AWS. Experience using IaC design principles to manage data infrastructure. Expertise designing and implementing continuous integration and deployment processes. Proficiency leveraging tools like Datadog and Monte Carlo to ensure reliability of the data platform. Expertise with scripting and orchestration languages like Terraform, GitLab CI, and Python. Strong understanding of data principles and technologies. Demonstrated ability to troubleshoot and resolve complex data platform issues. Excellent collaboration and communication skills.

Design, build, and maintain scalable and reliable data infrastructure using CI/CD and IaC. Automate manual data operations tasks to enhance efficiency and consistency. Develop and implement observability solutions for data platform reliability. Apply SRE practices to minimize toil and enhance data platform uptime and performance. Partner with Data Platform Team to design and deliver solutions. Coordinate with data engineers, analysts, and platform teams. Optimize data platform performance and scalability. Implement industry best practices for security and compliance. Monitor and respond to data platform issues, manage incidents, and perform root cause analysis. Continuously improve incident response processes.