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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data & Analytics Platform Architect - **Company:** Adobe Inc. - **Location:** San Jose, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Applications Architecture, Architectural Patterns, Microsoft Azure, Big Data, Cloud Computing, Cloud Engineering, Continuous Integration, Data Architecture, Data Infrastructure, DevOps, Distributed Systems, Design of User Interfaces, Microsoft SQL Server, MongoDB, Performance Tuning, Power BI, OpenAI, Cloud Services, Tableau (Software), Web Services, Pinecone, Large Language Models, Adobe, Collibra, Data Analytics, Data Management, Cloud Migration, Restful APIs, Serverless Computing, Databricks, Microservices - **Published:** November 7, 2026 - **Apply:** https://www.juju.com/job/28_25303_31d457f90caf966f0cd23089c59d104e ## About the Role * 7- 10 years experience across several of these areas: cloud architecture, networking, security, storage, DevOps, containers, serverless computing, CI/CD, cloud migrations, IT transformation. * Experience architecting cloud native solutions or migrating on-prem solutions to cloud. * Ability to understand and articulate common architectural patterns and design principles. * Expertise in creating architecture diagrams to communicate design with other partners is required. * Experience in the design and implementation of sophisticated IT solutions (including scalable cloud-based solutions). * Experience with large enterprise level systems and handling data at scale. Certification and/or Experience with multiple public cloud providers (AWS, Azure) is required. * Hands on experience with analytics technologies such as Databricks, MS SQL Server, MongoDB, Collibra, PowerBI and Tableau. * Previous experience as a full stack software engineer is a plus. * Expertise in building out generative AI based tools and applications * Familiarity with large language models (LLMs) such as OpenAI or LLAMA * Experience working with vector databases such as Pinecone * Solid understanding of web services, API, REST, and RPC * Experience with building User Interfaces, UX Design and Java development a plus * Strong presentation skills with a high degree of comfort speaking with executives and developers. ## Description Data has become a strategic asset of Adobe fueling all aspects of business decision-making. This individual contributor position within the EDA Data & Analytics Platform team will provide solutions interacting with data and powering insights needed to realize business objectives. This role will also perform technical planning, end-to-end architecture development and design specifications for distributed cloud analytics environments. Provides technical leadership and established direction for the application architecture, standards, design and implementation in a distributed cloud environment in Azure and/or AWS. As a Cloud Architect, you will design engaging Data Platform experiences. An ideal candidate can lead design discussions and implement applications independently with a panache towards building experiences for analytics customers. You will bring your experience in architecting and handling data-intensive applications. The winning candidate for this high-impact role must demonstrate deep knowledge of data architecture concepts, and possess experience solving customer problems building elite experiences around data analytics. At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists! We're fun, hard-working engineers who are capable of giving and receiving technical mentorship. You will also be surrounded by colleagues who are committed to helping each other grow through our outstanding Check-In approach where ongoing feedback flows freely! Are you looking to make an impact? If so, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog (http://blogs.adobe.com/adobelife/). Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability, or veteran status. Your core responsibilities will be * Architect & implement comprehensive & scalable analytics solutions to drive data driven insights * Architect & develop generative AI based analytics applications * Identify innovative applications for AI & ML in the data & analytics space. * Build scalable solutions in public and private Cloud Platforms to run on containerized and distributed systems * Collaborate with other architects, product management and other engineering teams and contribute across planning, modeling, design, implementation, support, and performance optimization of Adobe data platforms and microservices * Understand distributed computing architecture principles and articulates value proposition of architecture to business and technology partners. * Demonstrate deep subject matter leadership of cloud architecture and implementation features (OS, multi-tenancy, virtualization, orchestration, elastic scalability). * Design large-scale cloud architectures and understand relevant cloud services, with deep understanding of consumption-based usage to identify appropriate resource configurations to use. * Develop current and target state architecture, future vision and migration path that is aligned with broader executive strategies. * Implement custom technology solutions where vendor solutions may not be available, and customize existing vendor solutions where appropriate. * Apply infrastructure migration methodologies and techniques to design migration of data and workloads between on-premise and cloud based distributed computing environments. * Demonstrate mastery of cloud architecture and implementation features (multi-tenancy, orchestration, elastic scalability, serverless designs, networking, security, and observability). * Recommend and participate in governance practices of the IT organization as they relate to Cloud implementation. * Ensures decisions around architecture are made in alignment with defined strategies and deviations from standards are accurately identified, addressed, and communicated. * Ensure that standards set by Data, Security, Infrastructure, Platform and other enterprise architecture domains are followed when designing solutions. * Effectively address information governance and security challenges associated with running workloads on public clouds.