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Samsung Ads · 2 months ago

Lead Platform Engineer, Samsung Ads

645 Clyde Avenue, Mountain View, CA, USA

Full-time

Onsite

Lead/Staff

$190K/yr - $215K/yr

8+ years exp

Samsung Ads is a fast-growing, advanced advertising technology business that helps brands connect with audiences across Samsung Smart TVs and digital ecosystems. The Lead Platform Engineer will drive the design and delivery of large-scale DSP and Reporting systems, leading a team to build scalable, data-intensive products that power campaign delivery and performance measurement.

Marketing & Advertising

Responsibilities

Lead a team of engineers to design, implement, and deploy production-grade DSP and reporting systems with measurable business impact

Define scalable, high-performance architectures for data pipelines, reporting APIs, and platform services

Partner with Product, Data, and ML teams across multiple global engineering sites (e.g., MTV, SRIB, SRPOL, HQ) to translate business goals into technical roadmaps, ensure architectural alignment, and deliver high-quality solutions

Work with data engineering teams to develop and optimize large-scale data ingestion, transformation, and analytics pipelines

Ensure platform reliability and operational excellence through automation, monitoring, and proactive system health checks

Provide technical mentorship and foster a culture of code quality, performance, and innovation

Develop quick prototypes and proofs of concept to validate new ideas and accelerate innovation

Engage with technology partners and vendors to integrate advanced data and reporting tools into the Samsung Ads ecosystem

Qualification

GoLangBig Data TechnologiesData EngineeringCloud PlatformsStatistical MethodsDistributed SystemsPythonJavaScalaWorkflow OrchestrationCommunication SkillsTechnical Leadership

Required

Master's or PHD degree in Computer Science, Electrical Engineering, or a related field preferred, or equivalent practical experience with a proven record of building and leading large-scale distributed systems (8+ years)

Proficiency in GoLang required; Python and Java preferred; Scala nice to have

Strong experience with big data technologies such as Snowflake, Hadoop, Spark, MapReduce, and SQL

Hands-on experience with workflow orchestration tools (e.g., Airflow)

Strong understanding of data modeling, distributed systems, and software engineering best practices

Working knowledge of statistical methods and data-driven performance analysis

Excellent communication, collaboration, and technical leadership skills with a track record of cross-functional and cross-site influence