Data Platform Reliability Engineer

Job Title: Data Platform Reliability Engineer

Job Type: Contract (C2C)

Duration: 12 Months 

Location: Remote (USA / Canada)

Pay Rate: $60-70/hr C2C/1099 all inclusive 

Open Positions: 2

Position Overview:

We are seeking a skilled and proactive Data Reliability Engineer (DRE) to join our enterprise data practice on a remote contract basis. In this role, you will be responsible for driving pipeline uptime, automating observability, and building "shift-left" operational readiness into our data delivery pipelines. You will partner with engineering and operations teams to establish robust incident management, runbooks, and enterprise tool integrations.

Note: Candidates with prior experience working in global system integrators and consulting firms (e.g., HCLTech, Capgemini, Infosys, Wipro, TCS, Cognizant, or similar) will be given strong preference.

Key Responsibilities:

Data Platform Reliability: Design, build, and maintain automated observability, alerting, and telemetry for critical end-to-end data pipelines.

Shift-Left Operations: Collaborate early with engineering teams to embed operational readiness, fault tolerance, and reliability standards directly into CI/CD delivery pipelines.

Incident Management & Enablement: Lead incident response workflows, develop actionable runbooks, and empower support teams with the training and tools necessary to maintain SLAs.

API & Systems Integration: Build and manage REST API integrations connecting data platforms with enterprise ecosystem tools such as ServiceNow, Okta, and monitoring hubs.

Observability Architecture: Implement and optimize dashboards, log monitoring, and metrics tracking using platforms like Datadog, Splunk, or AWS CloudWatch.

Required Qualifications

Experience: 4 years of hands-on experience in Data Reliability Engineering (DRE), DataOps, or Site Reliability Engineering (SRE).

Consulting Background: Prior experience in large-scale client environments with global IT consulting services or system integration firms (e.g., HCLTech, Capgemini, Accenture, Cognizant, etc.) is highly preferred.

Monitoring & Observability: Strong hands-on expertise with enterprise observability tools (Datadog, Splunk, or AWS CloudWatch).

Incident & Support Enablement: 2 years of experience with structured production incident management, runbook creation, and support enablement.

Integrations: Proven track record with API integration (REST, ServiceNow, Okta) across operational workflows.

Pipeline Operations: Practical understanding of embedding operational readiness and reliability metrics into automated data delivery pipelines.

Communication: Exceptional written and verbal communication skills for stakeholder interaction and operational documentation.