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Data Software Engineering Manager

Role overview

Summary

This role is for a Data Software Engineering Manager to lead the architecture and integration of data-driven solutions in industrial and energy environments. You will guide cross-functional teams and ensure effective delivery and operational support while developing expertise in Cognite products.

Qualifications

  • 2+ years of experience designing end-to-end solution architecture and integration in industrial or energy contexts.
  • 7+ years of experience building data modeling and ingestion pipelines using Python and SQL.
  • Strong leadership skills guiding customer-facing and delivery teams through architecture decisions.
  • Strong stakeholder management skills engaging C-level executives and business data managers.
  • Upper-Intermediate English proficiency (B2).

Responsibilities

  • Lead architecture design and implementation of comprehensive solutions tailored to client needs
  • Define enterprise integration strategies, architecture frameworks, and data models
  • Guide customer-facing teams and stakeholders with strategic and technical direction
  • Coordinate delivery with a small cross-functional team and third-party vendors

Key facts

Hard skills

Other skills

  • Leadership
  • Communication

About the company

EPAM Systems logo

EPAM Systems

  • IT Services & Consulting
  • XLarge
  • 10,001+
Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.

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Job description

We are looking for a Data Software Engineering Manager to lead end-to-end architecture and integration for data-driven solutions in industrial and energy environments. You will guide cross-functional teams, shape data models and pipelines, and support delivery and operations. Responsibilities Lead architecture design and implementation of comprehensive solutions tailored to client needs Define enterprise integration strategies, architecture frameworks, and data models Translate complex technical requirements into clear architecture artifacts and actionable plans Guide customer-facing teams and stakeholders with strategic and technical direction Coordinate delivery with a small cross-functional team and third-party vendors Oversee operational support and ensure service agreements for deployed solutions Train internal teams and external partners to enable effective knowledge transfer Develop expertise in Cognite products and industry best practices to drive solution innovation Requirements 2+ years of experience designing end-to-end solution architecture and integration in industrial or energy contexts 7+ years of experience building data modeling and ingestion pipelines using Python and SQL Strong leadership skills guiding customer-facing and delivery teams through architecture decisions Strong stakeholder management skills engaging C-level executives and business data managers Strong project coordination skills working with sales, engineering, and product management Advanced technical skills in Cognite products and solution design for enterprise deployments Strong communication skills translating complex requirements into clear architecture models and plans Upper-Intermediate English proficiency (B2) Nice to have Google Cloud Platform architecture and data services experience Microsoft Azure architecture and data services experience Google Cloud Platform certification relevant to data engineering or architecture Microsoft Azure certification relevant to data engineering or architecture

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