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
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Define and evolve a data classification approach, including an in-house classification system and integration with signal providers
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Develop internal tooling that translates classification signals into dependable, actionable metadata in DataHub
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Implement human-in-the-loop review workflows for low-confidence automated classification outcomes
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Integrate and assess classification signal providers such as Wiz and Cyera within the broader platform ecosystem
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Contribute to the rollout of DataHub LLM and pattern-based classifiers for warehouse assets, starting with Databricks
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Prototype an internal classifier pipeline that maps sample data to classification output as a complement to third-party signals
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Partner with data governance, legal, and security stakeholders to align classification with taxonomy and regulatory obligations
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Support access-governance efforts by applying classification outputs to inform access right-sizing for sensitive data
Requirements
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Solid background with 5+ years in platform engineering roles
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Demonstrated leadership ability to influence cross-functional stakeholders and drive alignment
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Proven track record delivering internal platforms or developer tooling from concept to rollout
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Hands-on experience with DataHub metadata management
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Practical experience working within Databricks data ecosystems
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Production experience operating MongoDB environments
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Excellent communication skills for both technical and non-technical audiences
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Upper-Intermediate English proficiency (B2)
Nice to have
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Familiarity with Data Governance practices and operating models
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Understanding of Privacy Management concepts and regulatory-driven classification needs
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Knowledge of LLM evaluation methods for classification quality and drift
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Gaming domain experience to better interpret data context and sensitivity
We offer
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International projects with top brands
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Work with global teams of highly skilled, diverse peers
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Healthcare benefits
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Employee financial programs
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Paid time off and sick leave
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Upskilling, reskilling and certification courses
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Unlimited access to the LinkedIn Learning library and 22,000+ courses
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Global career opportunities
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Volunteer and community involvement opportunities
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EPAM Employee Groups
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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.
