Adobe—Information Systems Engineer 4

Job description

Description: Role Summary We are seeking a Data Engineer / Data Migration / Integration Engineer to build, develop, and support scalable data platforms, migration solutions, and integration frameworks. These systems enable business-critical analytics, operational processes, and capabilities powered by artificial intelligence. This role combines data engineering, integration engineering, cloud technologies, and data architecture prepared for AI. Key Responsibilities - Build, develop, test, and deploy scalable data pipelines using modern cloud technologies. - Build batch, micro-batch, and real-time data processing solutions. - Develop ETL/ELT frameworks and reusable integration components. - Complete data migration and modernization initiatives across cloud and hybrid environments. - Build and maintain REST API, event-driven, and Kafka-based integrations. - Build cloud-native data solutions using AWS and Azure services. - Implement data quality, observability, monitoring, and governance practices. - Help shape the future of AI-enabled products by creating secure, reliable, and scalable data foundations that power Generative AI and intelligent experiences. Technical Skills & Qualifications Required Qualifications - Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. - 6–12 years of experience in Data Engineering, Data Migration, Integration Engineering, or related roles. - Strong programming skills in Python and SQL with working knowledge of Java or Scala. - Experience with Spark, PySpark, Databricks, and distributed data processing frameworks. - Hands-on experience with AWS and/or Azure data platforms. - Experience building ETL/ELT pipelines, integrations, and migration solutions. - Familiarity with REST APIs, event-driven architectures, streaming technologies, CI/CD, and automation. Preferred Qualifications - Experience with Snowflake, Delta Lake, Airflow, Kafka, SnapLogic, ADLS, and SQL Server. - Exposure to Salesforce (SFDC) or Microsoft Dynamics 365 (D365). - Experience with workflow orchestration tools such as Airflow, Tidal, or equivalent platforms. - Understanding of AI, Generative AI, and emerging AI-driven engineering practices that improve developer productivity and customer experiences. Core Technology Stack Python, SQL, PySpark, Spark SQL, Databricks, Snowflake, Airflow or Tidal, Kafka, REST APIs, AWS, Azure, GitHub, Delta Lake, SnapLogic, ADLS, SQL Server, AI-assisted Development AI & Future-Ready Engineering Expectations - Leverage AI-assisted development tools to accelerate coding, testing, debugging, and documentation. - Validate AI-generated outputs for correctness, security, performance, and maintainability. - Understand foundational concepts of LLMs, Retrieval-Augmented Generation (RAG), embeddings, vector search, and AI data pipelines. - Contribute to AI-first engineering practices and responsible AI adoption. Success Indicators - Deliver high-quality, production-ready solutions with minimal rework. - Own medium-complexity data engineering, migration, and integration initiatives from development through deployment. - Build scalable and maintainable solutions that improve business outcomes. - Improve automation, reliability, performance, and operational efficiency. - Contribute to AI-ready data foundations supporting future analytics and intelligent applications. Why Join Us You will work on large-scale data platforms, cloud modernization initiatives, and enterprise integrations. You will also contribute to next-generation AI-enabled solutions while collaborating with high-performing teams and crafting the future of data-driven innovation! 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 GenStudio 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. 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. Skills: python, sql, data engineering, data migration, data integration, spark, aws, etl, elt, azure, pyspark, databricks, rest apis, kafka, distributed data processing, event-driven architecture, ci/cd, automation, data quality, data governance, observability, snowflake, delta lake, airflow, generative ai, ai-assisted development, tidal, snaplogic, adls, sql server, salesforce, microsoft dynamics 365