We are looking for a Lead Data Software Engineer to deliver high-performance data applications and cloud-native pipelines while advancing AI-assisted engineering practices. You will collaborate across data, product, and marketing functions to turn business needs into scalable solutions—apply now.
Responsibilities
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Design high-performance big-data applications using Scala, Databricks, Spark SQL, Spark Streaming, and Python
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Build and optimize cloud-native data pipelines on Azure, including ingestion, transformation, and orchestration
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Lead AI-assisted engineering practices, including Vibe Coding and other generative-AI accelerators
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Architect event-driven and distributed systems using modern design patterns for reliability and scalability
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Develop full-stack applications with modern JavaScript frameworks and backend services
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Implement robust APIs and microservices that integrate MarTech systems with client-facing platforms
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Collaborate with product, marketing, and data teams to translate business needs into technical solutions
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Improve CI/CD pipelines and deployment workflows for data and application services
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Align stakeholders on scope, milestones, and technical decisions across data and application layers
Requirements
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5+ years of experience building big-data applications with Scala, Databricks, and Python
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5+ years of experience designing and optimizing data pipelines on Azure
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Proven technical leadership experience guiding engineers in cross-functional delivery
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Strong project delivery skills driving solutions from requirements to production
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Advanced system design skills with event-driven and distributed architecture patterns
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Strong communication skills translating technical tradeoffs into business impact
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Upper-Intermediate English proficiency (B2)
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AI-augmented development experience with Vibe Coding or comparable frameworks
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Full-stack engineering experience with modern frontend frameworks and backend services
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API design skills with RESTful and GraphQL interfaces
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CI/CD pipeline experience supporting automated deployments
Nice to have
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Apache Spark
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Azure Data Factory
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Java
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JavaScript
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.
