Sr Cloud Data Engineer

Yahoo serves as a trusted guide for hundreds of millions of people globally, helping them achieve their goals online through our portfolio of iconic products. For advertisers, Yahoo Advertising offers omnichannel solutions and powerful data to engage with our brands and deliver results.

About Yahoo

Yahoo is a global media and tech company connecting hundreds of millions of people worldwide to their passions. We provide trusted products, content, and technology spanning finance, sports, shopping, gaming, news, search, and mail. For partners, we offer a full-stack platform to amplify growth and drive meaningful connections across advertising, search, and media.
 

About Research

Yahoo Research is at the forefront of developing intuitive, intelligent, and forward-looking products across our brand portfolio. We harness AI and emerging technologies to shape the next generation of Yahoo, hiring world-class engineers to support our ambitious product and platform goals. Our engineers thrive in a highly collaborative environment with a strong emphasis on technical excellence and innovation. This is a unique opportunity as we reimagine the future of Search, reinventing how users find information and accomplish their goals. To achieve this vision, we are integrating new technology and expanding our infrastructure. This role demands strategic partnership, analytical thinking, exceptional planning and execution skills, ambitious innovation, an obsession with quality and user needs, a passion for solving complex problems, and the commitment to implement durable solutions quickly and effectively. If you enjoy being part of high-performing teams, this role is for you!

About You

• You have a strong background in data engineering, with a proven track record of designing and building scalable data platforms.

• You are a proactive self-starter who can take the lead on projects, sell new ideas, and drive them to completion with a high degree of autonomy.

• You have a deep understanding of data modeling principles and modern data architecture concepts.

• You are excited by the challenge of working with diverse datasets in both batch and real-time streaming modes.

• You are a strong collaborator with excellent communication skills, capable of working with both technical and non-technical stakeholders.

• A fundamental belief in leveraging AI and machine learning as a core component of every data solution, from design to implementation.

About the Role

We are seeking a Senior Data Engineer to join our team and help us build the next generation of our cloud-first data ecosystem. As a company that is seriously data-driven, we view data not just as a support function but as a core pillar of our success. This is a chance to move beyond dated technologies and take the lead in building fresh, innovative architectures in the cloud.

You will be a key part of a new initiative, migrating existing pipelines and designing new, cutting-edge data solutions from the ground up. This is a high-impact role where you will work with diverse datasets—from streaming user interactions and financial data to audience and advertisement information—to power our analytics and data reporting teams. If you are passionate about building scalable, resilient, and modern data platforms that directly influence business decisions, we want to talk to you.

What You'll Do

• Design and develop robust, scalable, and resilient data pipelines using both streaming and batch processing technologies.

• Lead the migration of legacy data pipelines to a modern, cloud-first architecture on GCP and AWS.

• Collaborate with analytics and reporting teams to understand their needs and deliver well-structured data models.

• Architect and implement a variety of data solutions, by applying concepts such as Lambda, Kappa, and streaming architectures, ETL/ELT.

• Propose, prototype, and implement new technologies and best practices to improve our data ecosystem's efficiency and reliability.

• Contribute to the full data lifecycle, from data ingestion and transformation to modeling and warehousing.

• Help define and enforce best practices for data quality, governance, and architecture.

Key Technologies

• Cloud Ecosystems: Deep expertise in GCP and/or AWS data services

• Data Warehouses / Lakehouses: Experience with modern cloud warehou