Description
Who is our client:
Our client is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we have set our sights on powering every television in the world. The client’s mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
About this role:
The client was pioneered streaming to the TV. We connect users to the streaming content they love, enable content publishers to build and monetize large audiences, and provide advertisers with unique capabilities to engage consumers. The client’s streaming players and TV models are available worldwide through direct retail sales and licensing agreements with TV brands and pay-TV operators. With tens of millions of players sold across many countries, thousands of streaming channels, and billions of hours watched on our platform, building scalable, highly available, fault-tolerant big data platforms is essential for our success.
The client’s advertising business operations leverage a mix of SaaS and internally built applications, all orchestrated through an Order-to-Cash workflow. These systems generate critical data needs across the lifecycle of business operations, requiring robust, scalable, and future-ready data infrastructure.
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Requirements
Must have:
• A Bachelor’s or Master’s of Science in Computer Science is preferred;
• 8+ years of experience in data engineering and infrastructure, preferably in large-scale or AdTech environments.
• Strong programming skills and Handson coding in Python, Java/Scala, and distributed systems development.
• Proven expertise with modern data stacks: Python, Docker, Airflow, Trino/Presto, Postgres, distributed query engines, graph-based data systems, ETL design, and pipeline development;
• Hands-on experience with the Hadoop ecosystem: HDFS, Hive, Spark, MapReduce, Airflow;
• Knowledge of orchestration and messaging frameworks (Airflow/Dagster, Pub/Sub, Kafka, SQS), with a focus on backpressure-aware workflows;
• Experience building microservices and integrating them into data workflows;
• Cloud expertise, ideally GCP (AWS acceptable), with practical knowledge of CI/CD pipelines for data and ML workflows;
• A focus on continuous learning and improving, both technically and professionally, in your industry, for you and your teams;
• Demonstrated resilience, with experience working in ambiguous situations;
• Strong English, excellent influencing and communication skills, and excellent documentation skills;
Nice to have:
• Exposure to vector databases, RAG pipelines, knowledge graphs, and embedding workflows;
• Interest or experience in AI-driven architectures, including model orchestration, agentic systems, and standards such as Model Context Protocol (MCP);
Job responsibilities
• Architect the Data Lifecycle: Design end-to-end data architectures spanning integration, pipelines, transformation workflows, and unified data consolidation across multiple platforms;
• Build Scalable Systems: Develop distributed, high-performance data systems across SaaS and self-managed applications, including optimized database stack solutions;
• Develop Governed Data Services: Create structured, semantic APIs and data services to power internal operations and analytics;
• Operational Reliability: Monitor, troubleshoot, and ensure uninterrupted data flow across pipelines and platforms;
• Data Insights: Perform in-depth data analysis to generate actionable insights that guide business decisions;
• Innovate with AI: Collaborate with product and engineering teams to embed modern agentic and AI-driven patterns into both infrastructure and customer-facing solutions;
What we offer
Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders.
Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.
Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.
Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!
High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.
About GlobalLogic
GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.