Senior Software Engineer – Big Data & Lakehouse Solutions

Reposted 25 Days Ago
Be an Early Applicant
Bucharest, București
In-Office
Senior level
Artificial Intelligence • Digital Media • Marketing Tech • Software
Adobe is changing the world through digital experiences.
The Role
The role involves developing data architectures, building Big Data and Lakehouse solutions, and optimizing data processing at scale. Responsibilities include guiding architecture, engaging in agile development, and promoting software engineering best practices.
Summary Generated by Built In

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.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.

Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [email protected] or call (408) 536-3015.

Top Skills

Databricks
Delta Lake
Hadoop
Hbase
Iceberg
Java
Kafka
Kubernetes
Mapreduce
Scala
Spark
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The Company
HQ: San Jose, CA
21,000 Employees
Year Founded: 1982

What We Do

When you join Adobe Life in Austin, you’ll immerse yourself into a world of cutting-edge technology, exceptional colleagues and meaningful work that touches millions of people everywhere.

Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.

Why Work With Us

Adobe Austin embodies the culture of the Austin neighborhood around it which is diverse, enterprising and innovative.

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