EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture.

Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. We are looking for a Lead Platform Engineer to scale data classification and make it operational across our platforms, from signal ingestion to trusted metadata.

You will create internal tooling, work closely with governance, legal, and security partners, and increase automation while keeping humans in the loop where needed. Apply now to help us raise the bar for scalable data stewardship Responsibilities Define and evolve a data classification approach, including an in-house classification system and integration with signal providers

Develop internal tooling that translates classification signals into dependable, actionable metadata in DataHub

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

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

Contribute to the 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

Partner with data governance, legal,



and security stakeholders to align classification with taxonomy and regulatory obligations

Support access-governance efforts by applying classification outputs to inform access right-sizing for sensitive data Requirements Solid background with 5+ years in platform engineering roles

Demonstrated leadership ability to influence cross-functional stakeholders and drive alignment

Proven track record delivering internal platforms or developer tooling from concept to rollout

Hands-on experience with DataHub metadata management

Practical experience working within Databricks data ecosystems

Production experience operating MongoDB environments

Excellent communication skills for both technical and non-technical audiences

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

Understanding of Privacy Management concepts and regulatory-driven classification needs

Knowledge of LLM evaluation methods for classification quality and drift

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

Work with integral 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

Global career opportunities

Volunteer and community involvement opportunities

EPAM Employee Groups

Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.

📌 Lead Platform Engineer (Colombia)
🏢 EPAM Systems
📍 Colombia