Senior Software Engineer – Big Data

Our Company
Changing the world through digital experiences is what Adobe's all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours

The Opportunity
Adobe Experience Platform is the Adobe solution that helps customers to centralize and standardize their customer data and content across the enterprise powering 360-degree customer profiles, enabling data science and data governance to drive real-time personalized experiences. With Experience Platform, enterprises will be able to use completely coordinated marketing and analytics solutions for driving relevant customer interactions.

Our engineering team is responsible for building the Adobe Experience Platform. We help thousands of customers collect, handle and synthesize petabytes of data with high fidelity and velocity. We help them make sense of that data, glean insights and run algorithms, so they can deliver delightful experiences in real-time, every time.

This position is for a key contributor who will be a part in developing modern data architectures, developing Big Data and Lakehouse solutions, and implementing those solutions through to production.

This role blends
data infrastructure, AI workflows, and multi-cloud technologies
to drive
real-time customer intelligence
. If you enjoy
solving complex challenges
and working in a
collaborative, fast-paced environment
, we want to hear from you

What You'll Do

• Be involved in all the product development and delivery stages, as part as an agile engineering team.
• Research on various technologies useful for the project and keep in touch with the evolution of the industry
• Work in an environment that supports individual growth and continuous learning.
• Contribute to and promote good software engineering practices across the team
• Provide guidance in architecture, design & code reviews.
• Possibility to contribute to Open Source projects
• Perform on-call activities, on follow the Sun rotation with the rest of the team

What You Need To Succeed

• A strong passion for computer science and data engineering, with a focus on delivering high-scale data processing solutions in a production environment
• Proven expertise in big data processing field: Spark, Delta Lake (or equivalent Lakehouse technologies).
• Good understanding of table formats, schema evolution, and advanced data modeling.
• Hands-on experience with performance optimization, large-scale cluster tuning, and efficient big data architectures.
• Solid programming skills in Scala and/or Java, with the ability to engineer robust, maintainable pipelines.
• Validated ability to research and become proficient in new emergent technologies, with a emphasis on leveraging AI coding agents to enhance productivity and streamline collaboration throughout the entire software lifecycle process.
• Validated experience implementing observability best practices—monitoring, logging, and tracing—across distributed data systems.
• A problem-solving mindset, capable of diagnosing root causes and delivering solutions for complex data challenges.
• Commitment to the highest levels of quality, puts focus both in testing and code development
• Very good written and verbal communication skills
• Very good English language knowledge, written and spoken.

Bonus Skills

• Experience with Big Data Lakehouse technologies, i.e. Hadoop/HBase/MapReduce/Iceberg/DeltaLake/Kafka, Databricks it's a plus.
• Experience in working with infrastructure, i.e. cloud providers, containers, Kubernetes, VM/Bare metal deployments, is a plus.

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