Principal Engineer - Marketing Technologies

Wells Fargo is seeking a Principal Engineer to lead observability and reliability engineering for Marketing Technology platforms. This role focuses on enabling end-to-end visibility across a complex data ecosystem spanning SaaS platforms, hybrid cloud, and on-prem systems. The position is responsible for designing and advancing full-stack observability for ETL pipelines, integrations, and data movement across marketing platforms to improve reliability, reduce time to detect and resolve issues, and ensure consistent data flow supporting critical customer engagement channels.

You will join a focused team of engineers and application support professionals driving adoption of observability, automation, and Site Reliability Engineering (SRE) practices across Marketing Technology. The team partners closely with data engineering, platform teams, and vendors to deliver stable, scalable, and highly visible systems. The role supports all aspects of the platform lifecycle—from instrumentation and monitoring design to incident response and continuous improvement—ensuring strong operational health, proactive alerting, and resilient data pipelines across distributed systems. The team operates across a global footprint, enabling a follow-the-sun support model and consistent platform reliability.

Responsibilities

• Define observability strategy, establish standards, patterns, and designs for monitoring distributed data systems, and drive adoption of tools such as Grafana, Splunk, Prometheus, and OpenTelemetry.
• Enable end-to-end visibility by instrumenting ETL pipelines, integrations, and APIs with metrics, logs, and traces; building dashboards for data flow health, latency, throughput, and error tracking; and monitoring data movement across SaaS, hybrid, and on-prem environments.
• Strengthen data reliability by implementing proactive alerting for pipeline failures, latency spikes, and data integrity risks; identifying and isolating issues across multi-step data hops and integrations; and partnering with data engineering teams to embed observability into ETL frameworks (Airflow, Informatica).
• Lead incident response and problem resolution by driving triage for high-severity data and platform incidents; distinguishing root causes across data, platform, and vendor layers; performing root cause analysis and implementing long-term fixes; and developing runbooks and playbooks for repeatable issue resolution.
• Manage change and vendor coordination by ensuring observability readiness for vendor patches, hotfixes, and configuration changes; validating monitoring coverage post-change to maintain visibility and alert accuracy; participating in change advisory processes and tracking vendor release cycles; and documenting change impacts and lessons learned for audit and compliance.
• Drive automation and continuous improvement by automating observability setup for new pipelines and integrations; implementing anomaly detection and predictive alerting; and continuously refining dashboards, thresholds, and alert logic based on trends.
• Influence architecture and engineering practices by partnering with Enterprise Architecture and engineering teams to align solutions with standards; advocating for scalable, observable system design across Marketing Technology; and contributing to technology strategy and roadmap decisions.
• Support operational excellence by sharing responsibility for production support of critical data flows and applications; improving key metrics such as availability, time to detect, and time to recover; and promoting SRE practices including SLIs, SLOs, and error budgets.

Requirements

• 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
• 5+ years designing and implementing observability solutions (e.g., Splunk, Grafana, Prometheus, OpenTelemetry).
• 3+ years of experience with cloud and container platforms (Kubernetes, OpenShift).

Qualifications

• Experience with databases (Oracle, SQL Server, PostgreSQL, MongoDB) and strong SQL skills.
• Familiarity with Java-based applications and performance monitoring (JVM metrics, heap/thread analysis).
• Experience with CI/CD pipelines (Jenkins, GitLab, Harness).
• Strong understanding of APIs, microservices, event-driven architecture, and messaging systems (Kafka, MQ).
• Ability to troubleshoot data movement across SaaS, hybrid, and on-prem systems.
• Strong communication skills with the ability to work across technical and business teams.
• Strong experience with distributed systems monitoring, logging, and tracing.
• Experience supporting complex ETL pipelines and data integration workflows.
• Proficiency in scripting and automation (Python, Bash, Ansible).
• Experience with Linux/Unix and Windows server environments.
• Experience supporting marketing or SaaS platforms (Adobe, Salesforce, Pega, etc.).
• Knowledge of data governance and compliance frameworks.
• Experience troubleshooting OS-level and infrastructure-related issues.
• Experience supporting both commercial off-the-shelf and custom-built applications.
• Strong analytical mindset with a focus on continuous improvement.
• Experience working in Agile or Kanban environments.

Ability to work on-site at posted location. Relocation assistance and visa sponsorship are not available for this position.

Pay

$159,000.00 - $305,000.00

Benefits

• Health benefits
• 401(k) Plan
• Paid time off
• Disability benefits
• Life insurance, critical illness insurance, and accident insurance
• Parental leave
• Critical caregiving leave
• Discounts and savings
• Commuter benefits
• Tuition reimbursement
• Scholarships for dependent children
• Adoption reimbursement