The Opportunity:

Join Adobe in the heart of Noida, where brand-new engineering meets outstanding innovation. As a Lead Engineer, you will play a pivotal role in crafting the future of Digital Media Analytics. This is an outstanding opportunity to be part of a dynamic and ambitious team dedicated to developing a AI powered data platform, data pipelines, reports, and analysis. Your work will be instrumental in delivering powerful technology that empowers users globally.

What you will do

Build data applications using python and LLM's to automate/enable insights for sales teams

Build a data platform using big data processing and warehousing technologies.

Build, maintain, and ideate on frameworks and tools required to ingest, store, process and serve data for global scale, data-intensive systems.

Build data pipelines to publish reports and to power dashboards for Sales & Sales OPS

Collaborate with cross-functional teams to determine key interfaces for your projects and build them with quality and agility.

Do analysis and present key findings, insights and concepts to key influencers and leaders to help them make data driven decisions on business and product roadmap.

Support Machine Learning engineers and Data Scientists with their dataset needs for training the ML or statistical models and evaluating them.

Be aware of the latest open-source projects and technological breakthroughs in the data engineering space and explore them to build better and more effective solutions.

Drive innovation through research and experimentation, encouraging an environment where new ideas can thrive.

Mentor junior engineers on the team

What you need to succeed

A bachelor's degree in computer science or related fields.

8-12 years of experience as a server-side developer, with at least 4 years in Data Engineering, with a consistent track record of designing, implementing, and delivering large scale, high-quality solutions.

Strong understanding of LLM's and how they could be repurposed to solve business problems.

Solid understanding and programming skill in languages such as Java or Python and frameworks and libraries based on them with a focus on data engineering.

Strong expertise and familiarity with various Big Data technologies and frameworks including Delta Lake, Pyspark , Spark Streaming and AWS EMR.

Strong familiarity with the concepts of SQL , RDBMS, Data Lake, Data Warehouse, Data Lakehouse, and Medallion Architecture.

Knowledge of at least one workflow orchestration tools such as Airflow or Oozie.

Experience working with ML engineers, Data Scientists, product and engineering leadership on their data and analysis needs.

Experience working with the DevOps teams to drive operationally excellent infrastructure.

Excellent problem-solving skills, with a consistent track record of delivering innovative solutions.

Ability to thrive in a collaborative, inclusive, and diverse workplace, embracing different perspectives and ideas.

Being comfortable with the ambiguity and having the ability to adapt to evolving priorities.

Serve as a role model and mentor through thorough code reviews and inventing reliable technical solutions. Lead learning sessions and consistently display sound technical judgment in everyday work.

Being ahead of the curve by familiarizing yourself with the latest and the best in the technological landscape and turning them into effective solutions for our customers.

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and Gen Studio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

Let’s Adobe together:

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

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 protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process 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 accommodations@adobe.com or call +1 408-536-3015.

AI Use Guidelines for Interviews:

Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.