Responsible for the reliability, resilience, availability, and performance of all data platforms, cloud infrastructure, data products, and data pipelines
Define and implement the Reliability Engineering strategy for data platforms and cloud environments
Influence architectural direction and lead large-scale, cross-organizational technical initiatives
Develop and implement AI-driven automation for anomaly detection, alert correlation, autonomous remediation, and predictive capacity management
Establish gold-standard incident response patterns and continuous improvement processes
Ensure data quality, timeliness, and SLAs for data products through automated checks and reliability tooling
Set and enforce standards for IaC, CI/CD, platform automation, and operational readiness across EDS

Requirements

10+ years in data, cloud, platform engineering, site/reliability engineering, or large-scale distributed systems
Proficiency with data or cloud platforms, including architectural patterns for resilience, networking, security, and distributed data infrastructure
Deep experience with Snowflake, EMR, Hadoop/Spark, Data Integration, and cloud-native data ecosystems
Scripting and programming (preferably Python) for large-scale automation, platform tooling, and reliability frameworks
Experience with Infrastructure-as-Code (Terraform, CloudFormation) and enterprise CI/CD
Experience in regulated or highly complex enterprise environments (financial services, insurance, healthcare)
Certifications in AWS, GCP, Kubernetes, or SRE/DevOps frameworks
Background applying machine learning to operations—anomaly detection, event correlation, predictive modeling, and automated remediation
Expertise with enterprise observability stacks (Prometheus, Grafana, Datadog, Splunk, Dynatrace, OpenTelemetry)
Exceptional communication skills for interacting with executives, senior architects, product leaders, and engineering teams.

Benefits

short-term or annual bonuses
long-term incentives
on-the-spot recognition

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringcloud engineeringsite reliability engineeringlarge-scale distributed systemsdata integrationscriptingprogrammingInfrastructure-as-Codeautomationmachine learning

Soft Skills

communicationleadershipinfluencingcollaborationproblem-solvingcontinuous improvementincident responseorganizational skillstechnical initiative leadershipexecutive interaction

Certifications

AWSGCPKubernetesSREDevOps