Data Platform Engineer

We are hiring a Data Platform Engineer to manage and improve Adobes enterprise data and AI this position you will work closely with engineering analytics and business units to deliver consistent secure and scalable data services that support reporting machine learning and innovative AI projects. This role allows you to engage with modern cloud tools and help teams gain value from extensive data sets.

• Coordinate and support enterprise Databricks environments across Azure and AWS.
• Handle cloud-based data storage systems like Azure Data Lake Storage (ADLS Gen2) and Amazon S3.
• Support data integration and replication pipelines connecting enterprise platforms.
• Provide operational support and mentorship for platform users.
• Support analytics and visualization platforms including Power BI and Tableau.
• Monitor platform health performance and usage while developing automation.
• Partner with security teams to implement governance compliance and data protection controls.
• Find opportunities to optimize cloud spending and improve resource utilization.
• Evaluate and support emerging AI and Generative AI capabilities.
• Collaborate with internal teams and external partners to troubleshoot issues and improve platform capabilities.

• Bachelors degree in Computer Science Engineering Information Systems or equivalent experience.
• 2 years of hands-on experience coordinating Databricks environments in production.
• 3 years of hands-on experience in Azure/AWS Cloud Infrastructure supporting enterprise-scale cloud data platforms.
• 1 year of hands-on administration experience with Tableau Power BI or Microsoft Fabric.
• Experience handling data lake platforms like ADLS Gen2 and Amazon S3.
• Experience troubleshooting and supporting production data analytics or business intelligence platforms.
• Experience developing scripts or automation using Python Bash or similar technologies.
• Strong problem-solving skills and the ability to collaborate effectively across technical and business groups.

• Previous SQL Server Administration experience to provide operational support during the transition to new platforms.
• Experience with Apache Airflow Kubernetes (AKS or EKS) or Apache Kafka.
• Familiarity with MongoDB Hive Metastore MySQL or vector databases.
• Experience with monitoring and observability platforms such as Databricks System Tables Splunk or Prometheus.
• Familiarity with Generative AI technologies LangChain LangSmith vector search or LLM-based tools.
• Experience using Jira ServiceNow or similar operational support platforms.

About Adobe

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

Our 30000 employees worldwide are creating the future and raising the bar as we drive the next decade of growth. Were 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.

Lets 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.

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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 its restricted during live interviews. See how we think about AI in the hiring experience.