EPAM Systems
Data Science Platform Architect
- Compensation
- Not disclosed
- Location
- Belarus, Georgia, Kazakhstan, Kyrgyzstan, Uzbekistan
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data science
- Posted
Skills
Must have
- 5+ years of experience in software architecture
- Expertise in Python packaging, including building, versioning, and distributing reusable libraries
- Experience designing and implementing metadata-driven pipelines
- Skills in API design, with a focus on clean, consistent, and well-documented interfaces
- Proficiency in productizing data science pipelines into modular, reusable components
- Experience moving data science work from one-off scripts and notebooks to production-ready, standardized building blocks
- English proficiency at B2 level or higher
Full description
We are looking for a Data Science Platform Architect to design the architecture of EDP, building reusable, config-driven components that power end-to-end data science workflows. The ideal candidate will bring strong software architecture expertise and a track record of transforming data science pipelines into modular, production-ready platform components.
Responsibilities
- Design the overall architecture of EDP
- Build the platform around reusable, config-driven components that can be combined into end-to-end workflows
- Define how components are configured, connected, and executed through metadata rather than custom code
- Design clear, consistent APIs for the platform and its components
- Set standards for packaging and versioning components so they can be shared and reused across teams
- Transform existing data science pipelines into modular platform components
Requirements
- 5+ years of experience in software architecture
- Expertise in Python packaging, including building, versioning, and distributing reusable libraries
- Experience designing and implementing metadata-driven pipelines
- Skills in API design, with a focus on clean, consistent, and well-documented interfaces
- Proficiency in productizing data science pipelines into modular, reusable components
- Experience moving data science work from one-off scripts and notebooks to production-ready, standardized building blocks
- English proficiency at B2 level or higher
Benefits
We connect like-minded people:
- Delivering innovative solutions to industry leaders, making a global impact
- Opportunity to work abroad for up to two months per year
We invest in your growth:
- Leadership development, career advising, soft skills and well-being programs
- Unlimited access to EPAM's internal learning database
- Free English classes with certified teachers
We cover it all:
- Comprehensive medical & family care package
- Seven trust days per year (sick leave without a medical certificate)
- Discounts from 800+ partners (sports activities, restaurants, stores and services)
We connect like-minded people
- Delivering innovative solutions to industry leaders, making a global impact
- Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
- Opportunity to work abroad for up to two months per year
- Relocation opportunities within our offices in 55+ countries
- Corporate and social events