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Data Software Engineering Manager

Listing for: EPAM Systems
Full Time position Listed on 2026-11-14
Job specializations:
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR

Job Description & How to Apply Below

We are seeking a Data Software Engineering Manager to deliver scalable data and integration solutions for process and energy industry clients, improving asset performance, efficiency, and sustainability. You will partner with a small cross-functional team to shape architectures, data models, and operational support.

Responsibilities
  • Responsibilities Lead solution architecture and integration design tailored to client needs in industrial and energy domains Design data models and define enterprise architecture frameworks and integration strategies Build and maintain data ingestion pipelines and related data workflows using Python and SQL Translate technical and business requirements into architecture models, roadmaps, and actionable delivery plans Coordinate with cross-functional teams to align scope, timelines, and technical decisions Advise customer-facing teams and stakeholders with strategic and technical guidance Oversee operational support processes and help ensure service agreements for deployed solutions Train internal teams and external partners to enable knowledge transfer and adoption Collaborate with 3–5 teammates and third-party vendors to support successful delivery Develop expertise in Cognite products and industry best practices to drive solution innovation
Requirements
  • Requirements 3+ years of experience with data software engineering in production environments 7+ years of experience with Python development for data workflows 7+ years of experience with SQL for data modeling and analytics use cases Solution architecture skills to design end-to-end systems and integrations Stakeholder management skills to align with C-level executives and business data managers Project collaboration skills to work across sales, engineering, and product teams Strong communication skills to translate complex requirements into clear architecture models and plans Upper-Intermediate English proficiency (B2) Nice to have Google Cloud Platform experience for data platforms and integrations Microsoft Azure experience for cloud-based data solutions
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