Overview
Medallia is the pioneer and market leader in Experience Management.
Our award‐winning SaaS platform, Medallia Experience Cloud, leads the market in the management of experiences, insights, and actions for candidates, customers, employees, patients, and residents alike.
We believe that every experience is a memory that can last a lifetime.
Experiences shape the way people feel about a company, and they greatly influence how likely people are to advocate, contribute, and stay.
At Medallia, we are committed to creating a world where organizations are loved by their customers and their employees.
We empower exceptional people to create extraordinary experiences together.
Bring your whole self.
The Role
At Medallia, we help the world's leading organizations capture experience signals and transform them into real‐time intelligence and action.
As AI‐native systems evolve, traditional transactional architectures are no longer enough.
The future belongs to platforms that can continuously sense, interpret, and react to live operational and behavioral signals in real time.
We are building the next generation of intelligent, event‐driven platforms and are looking for a Principal Data & Event Intelligence Engineer to architect the real‐time nervous system powering AI‐driven decisioning, automation, and personalization across Medallia.
Mission
Transform the enterprise from static CRUD and transactional systems into a real‐time intelligence platform.
This role is responsible for building the foundational event and streaming infrastructure that powers operational AI, behavioral intelligence, autonomous workflows, and adaptive customer experiences.
You will design the systems that continuously ingest, process, enrich, and activate enterprise signals at scale — enabling AI systems and products to operate with real‐time awareness and responsiveness.
Responsibilities
Architect and scale enterprise‐wide event‐driven systems powering real‐time intelligence and AI workflows
Design highly resilient streaming architectures supporting billions of events and low‐latency processing
Build foundational event ingestion, routing, enrichment, and distribution frameworks
Define event contracts, schemas, governance standards, and interoperability patterns across platforms
Drive the transition from request/response transactional systems toward reactive, event‐native architectures
Build real‐time customer, employee, product, and operational signal pipelines
Develop behavioral intelligence systems that continuously analyze activity streams and contextual signals
Create streaming analytics capabilities enabling dynamic decisioning, anomaly detection, and adaptive workflows




Build operational AI feedback loops that continuously improve AI systems using live interaction data
Enable AI systems to react to changing enterprise state with minimal latency
Design feature stores, event stores, and temporal data architectures optimized for AI and machine learning workloads
Build systems supporting time‐aware reasoning, sequence analysis, sessionization, and historical replay
Implement cross‐platform telemetry normalization and unified signal modeling
Develop scalable infrastructure for high‐throughput event storage, retention, replay, and observability
Optimize data freshness, consistency, throughput, and processing efficiency at scale
Build real‐time personalization infrastructure powering adaptive user experiences and intelligent workflows
Design agent‐trigger systems enabling autonomous AI actions based on live signals and behavioral conditions
Create context propagation and streaming enrichment systems supporting AI orchestration frameworks
Partner with AI platform teams to integrate event intelligence into agentic and autonomous systems
Establish architectural standards and best practices for streaming and event‐driven engineering
Drive platform modernization initiatives across data, infrastructure, and AI ecosystems
Mentor engineers and influence technical direction across multiple teams and organizations
Partner with Product, Infrastructure, AI, and Security teams to operationalize real‐time intelligence capabilities
Evaluate emerging technologies in streaming systems, event processing, and operational AI infrastructure, and AI grounding
Candidates based in the Buenos Aires vicinity will be prioritized as this role is Hybrid, 3 days per week onsite.
Qualifications
Minimum Qualifications
10+ years of experience building large‐scale distributed systems, streaming platforms, or real‐time data infrastructure with expertise in event‐driven architectures and distributed streaming systems
Demonstrated experience with technologies such as Kafka, Pulsar, Flink, Spark Streaming, Kinesis, or similar platforms
Demonstrated experience building low‐latency, high‐throughput real‐time processing systems at enterprise scale
Demonstrated understanding of temporal data systems, feature stores, and streaming analytics architectures
Demonstrated experience designing scalable telemetry, observability, or behavioral data platforms
Demonstrated experience with programming in Java,



Scala, Go, Python, or similar backend technologies
Demonstrated experience with cloud‐native infrastructure, Kubernetes, and distributed runtime environments
Proven ability to lead large‐scale technical initiatives across organizational boundaries
Fluent in English, oral and written
Preferred Qualifications
Experience building operational AI or real‐time personalization systems
Familiarity with agentic systems, event‐triggered workflows, or AI orchestration frameworks
Experience integrating streaming systems with AI/ML pipelines and inference platforms
Knowledge of real‐time experimentation, recommendation systems, or adaptive decisioning architectures
Experience with schema evolution, data governance, and multi‐tenant event platform design
Contributions to open‐source streaming, data infrastructure, or observability ecosystems
What Success Looks Like
Build a scalable, resilient real‐time intelligence platform powering AI‐native experiences across Medallia
Enable enterprise systems to continuously react to live customer and operational signals
Reduce latency between signal generation, intelligence creation, and automated action
Create foundational infrastructure for operational AI, autonomous workflows, and adaptive personalization
Standardize and modernize the company's event‐driven architecture strategy
Improve platform observability, telemetry quality, and behavioral intelligence across products and services
Why Join Medallia
Help redefine enterprise architecture for the AI‐native era
Work on deeply technical distributed systems and real‐time intelligence challenges at scale
Build the event infrastructure powering next‐generation AI products and autonomous workflows
Influence platform strategy across AI, data, and infrastructure engineering
Collaborate with exceptional engineers and technical leaders solving complex enterprise‐scale problems
At Medallia, we celebrate diversity and recognize the value it brings to our customers and employees.
Medallia is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age (40 and over), disability, genetic information, veteran status or military service, or any other status protected by state or local law.
Individuals with a disability who need an accommodation to apply please contact us at ******.
For information regarding how Medallia collects and uses personal information, please review our Privacy Policies.
Applications will be accepted for 30 days from the date this role was posted or until the role has been filled.
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📌 Principal Engineer, Data & Event Intelligence (Buenos Aires)
🏢 Medallia
📍 Buenos Aires