We are looking for a Senior Platform Engineer to strengthen how data is classified and operationalized across our platforms, from signal ingestion to trusted metadata. You will build internal tooling, partner with governance and security stakeholders, and improve automation while keeping humans in the loop where needed—apply to help raise the bar for scalable data stewardship.

Responsibilities Design and mature a data classification approach, including an in-house classification system and integration of signal providers

Build internal tooling that converts classification signals into reliable, actionable metadata in DataHub

Implement human-in-the-loop review workflows for low-confidence automated classification results

Integrate and evaluate classification signal providers such as Wiz and Cyera within the broader platform ecosystem

Contribute to rollout of DataHub LLM and pattern-based classifiers for warehouse assets, starting with Databricks

Prototype an internal classifier pipeline that maps sample data to classification output as a complement to third-party signals

Collaborate with data governance, legal, and security stakeholders to align classification to taxonomy and regulatory obligations





Support access-governance efforts by using classification outputs to inform access right-sizing for sensitive data Requirements 3+ years of platform engineering experience

Strong leadership skills to influence cross-functional stakeholders

Proven project delivery in building internal platforms or developer tooling

Hands-on experience with DataHub metadata management

Hands-on experience with Databricks data ecosystems

Hands-on experience with MongoDB in production environments

Strong communication skills for technical and non-technical audiences

Upper-Intermediate English proficiency (B2) Nice to have Data Governance practices and operating models

Privacy Management concepts and regulatory-driven classification needs

LLM evaluation methods for classification quality and drift

Gaming domain experience to understand data context and sensitivity We offer International projects with top brands

Work with global teams of highly skilled, diverse peers

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling, reskilling and certification courses

Unlimited access to the LinkedIn Learning library and 22,000+ courses

Integral career opportunities

Volunteer and community involvement opportunities

EPAM Employee Groups

Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

📌 Senior Platform Engineer (Argentina)
🏢 EPAM Systems
📍 Argentina