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Senior Data Platform Engineer

Role overview

Qualifications

  • Proven hands-on experience in Platform Engineering, Data Engineering, or Infrastructure
  • Deep expertise in modern data platforms (Snowflake, ClickHouse)
  • Proven experience with automated data ingestion tools (specifically Fivetran)
  • Familiarity with AI-driven development tools or automated migration approaches (e.g., AI-assisted SQL transpiling)

Responsibilities

  • Design, implement, and maintain scalable, secure, and high-performance data platform infrastructure
  • Configure, optimize, and manage data ingestion pipelines using Fivetran to support enterprise data flows
  • Drive lakehouse migration initiatives, utilizing cutting-edge techniques such as AI-assisted SQL transpiling to streamline and accelerate code conversion
  • Ensure platform security, high availability, cost efficiency, and alignment with modern data engineering best practices

Key facts

Hard skills

Other skills

  • Mentorship

About the company

EPAM Systems logo

EPAM Systems

IT Services & IT Consulting

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.

Company details

Company typeXLarge
IndustryIT Services & IT Consulting
Company size10001

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Job description

We are seeking a Senior Data Platform Engineer to design, build, and scale our core data platform infrastructure. In this role, you will be instrumental in modernizing our data landscape on Snowflake and ClickHouse (leveraging Fivetran for ingestion) and driving our lakehouse migration. You will pioneer advanced technical solutions—including the implementation of AI-assisted SQL transpiling to accelerate migration—while shaping the reliability, security, and scalability of our data systems. Beyond technical execution, you will act as a technical leader and mentor, guiding junior engineers and elevating engineering standards across the team. Responsibilities Design, implement, and maintain scalable, secure, and high-performance data platform infrastructure Configure, optimize, and manage data ingestion pipelines using Fivetran to support enterprise data flows Drive lakehouse migration initiatives, utilizing cutting-edge techniques such as AI-assisted SQL transpiling to streamline and accelerate code conversion :Ensure platform security, high availability, cost efficiency, and alignment with modern data engineering best practices as a technical mentor to junior engineers, conducting code reviews, sharing knowledge, and fostering technical growth within the team Requirements Proven hands-on experience in Platform Engineering, Data Engineering, or Infrastructure, ideally including successful large-scale lakehouse or cloud data-warehouse migrations Deep expertise in modern data platforms (Snowflake, ClickHouse) Proven experience with automated data ingestion tools (specifically Fivetran) Familiarity with AI-driven development tools or automated migration approaches (e.g., AI-assisted SQL transpiling) Strong understanding of cloud infrastructure, security, and scalable data architectures

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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