Data Foundations Production Reliability Lead

Salesforce, Inc.; Dublin; On-site; EUR 120,000 - 170,000; Full time

Job summary

Salesforce, Inc. is seeking a Systems Specialist Lead, Data Foundations to own escalations across cases, investigations, and production events on Salesforce's data and analytics platforms.

You will lead incident response with reliability engineers, shaping how the team operates and ensuring readiness, documentation, and process excellence. You will mentor analysts, work with engineering and business leaders, and drive improvements in intake, investigation lifecycles, and service levels.

Qualifications

• Experience leading incident response for large-scale data and analytics platforms.
• Strong ability to own escalations, drive root-cause analysis, and coordinate cross-functional teams.
• Knowledge of data foundations and platform reliability practices preferred.

Responsibilities

• Own escalation model for cases, intake, investigations, and SOPs across teams and vendors.
• Define how Specialists and SREs swarm incidents and communicate with executives.
• Analyze escalation trends and translate into reliability and staffing priorities.
• Partner with SREs on disaster recovery planning and tests for the platform area.
• Contribute to post-incident reviews and update SOPs and reference materials.
• Identify gaps and propose resolutions to leadership.
• Define monitoring, alerting, and self-healing automation with partners.

Skills

Escalation management

Incident response

Reliability engineering

Apex

Python

SQL

Tools

Apex

Python

SQL

Job description

Salesforce, Inc. is seeking a Systems Specialist Lead, Data Foundations to own escalations across cases, investigations, and production events on Salesforce's data and analytics platforms.

You will lead incident response with reliability engineers, shaping how the team operates and ensuring readiness, documentation, and process excellence. You will mentor analysts, work with engineering and business leaders, and drive improvements in intake, investigation lifecycles, and service levels.