Data Pipeline (Ciudad de México)

Data Pipeline (Ciudad de México)

02 sep
|
Qualcomm
|
Ciudad de México

02 sep

Qualcomm

Ciudad de México

Company:Qualcomm Intl Inc., Mexico Branch Office

Job Area:Information Technology Group, Information Technology Group > IT Engineering

General Summary:
General Summary

This role joins the Qualcomm IT Operations Management and Analytics (ITOMA) team, responsible for managing the integral Splunk and Cribl infrastructure across the enterprise.

You will serve as a Splunk platform engineer, supporting the day-to-day administration, health, performance, and upgrade lifecycle of a large-scale, distributed Splunk environment — including search head clusters, indexer clusters, deployment servers, and heavy/universal forwarder fleets. Keeping this infrastructure stable, performant, and current is a foundational expectation of this role.

You will also contribute to a strategic initiative: migrating Qualcomm's security operations (SIEM), while helping maintain and optimize the broader observability data pipeline. Data routing and ingestion will leverage a hybrid approach using Cribl Stream/Edge, Azure Monitor Agent (AMA), and native Sentinel integrations — and you'll support the design,



implementation, and operation of these flows at enterprise scale.

Beyond the SIEM migration, you will support data pipelining across the full lifecycle — collection, transformation, routing, filtering, enrichment, and delivery — helping ensure the right data reaches the right platform (Splunk, Sentinel, Datadog, ADX) based on use case, cost, and retention requirements. You will also help evaluate and adopt OpenTelemetry (OTEL) as part of Qualcomm's longer-term strategy to standardize telemetry collection across open, vendor-neutral frameworks.

This is a multi-disciplinary role that works with Security, IT, Engineering, and EDA (Electronic Design Automation) teams — whose chip design environments generate some of the highest telemetry volumes in the enterprise — to support solutions, onboard data sources, and help enforce data governance standards.

Shape

Principal

Responsibilities:
Splunk

📌 Data Pipeline (Ciudad de México)
🏢 Qualcomm
📍 Ciudad de México

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