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
