Mission

Build and lead a regional team of technical experts in Brazil focused on resolving highly complex and long-running support cases raised by Databricks customers.
Oversee all Support Engineering operations during AMER/LATAM business hours with close alignment to global teams.
Ensure 24x7 support coverage through coordination with other regions.

Key Outcomes

Build and manage a high-performing regional team of Spark, ML, and AI Technical Solution Engineers in São Paulo or another major Brazil hub.
Hire, retain, and develop top talent, building a diverse, world-class support engineering organization.
Coach and mentor regional support managers and future leaders; drive structured training, technical workshops, and knowledge-sharing initiatives.
Define and track quarterly goals for team growth, individual development, and overall performance excellence.
Partner with Engineering and Product teams to improve product supportability by embedding diagnostics, observability, and support-first practices into design and delivery.
Lead and resolve escalations during LATAM business hours ensuring cross-functional collaboration with Engineering, Field, and Global Support teams.
Act as a player-coach providing technical leadership (deep dives, debugging, RCA) while scaling organizational processes, tools, and guidelines.
Drive root cause analysis (RCA) and developer-owned quality practices ensuring permanent fixes, embedded testing/instrumentation, reliable releases without “hero fixes.”
Build strong engineering-support partnerships aligning roadmaps, sharing visibility into changes; implement joint mechanisms (on-call rotations,...

Proven people leadership experience: at least 2+ years as a manager of managers.
12+ years in IT industry with strong background in Software Engineering, SaaS Support, Data Engineering or Cloud Platforms.
Experience leading large teams (50+ employees) in technical support, engineering or big data consulting.
Hands-on experience in at least two of the following at production scale: Big Data (Spark, Hadoop, Kafka), Machine Learning / Artificial Intelligence projects; Data Science / Streaming use cases. Spark expertise is a big advantage.
Strong background in customer-facing support leadership roles.
Excellent troubleshooting skills across distributed systems.
Fluent in English and Portuguese (Spanish a plus).
Strong ownership mindset; ability to thrive in fast-paced startup-like environment.
Bachelor’s/Master’s degree in Computer Science or equivalent technical field.

Strong Java/Scala development skills; OOP; distributed systems debugging (JVM, GC, Linux).
Proficiency in data structures, algorithms and performance optimization.
Hands-on with Spark (PySpark, Scala, SQL, Streaming,...