As an Application Architect at IBM, you will play a key role in driving the strategic direction for IBM Consulting clients by solving complex challenges and helping them navigate through their digital transformation journey. This role involves working closely with clients to implement, configure, and extend IBM’s Modern Data Accelerator (MDA) assets while also guiding them through the data management and data integration processes. You will work with cutting-edge technologies, apply data architecture principles, and have the opportunity to shape the future of enterprise-scale solutions.
Responsibilities
- Lead Client Projects. Act as a technical leader, driving the architecture, design, and delivery of solutions for IBM Consulting clients using IBM platforms. You’ll focus on creating solutions that align with the client's business needs and digital transformation goals.
- Data Architecture and Integration. Use your expertise in data architecture and data management systems to design and implement scalable solutions. This includes recommending and working with appropriate databases, handling batch and real-time data processing, and helping clients navigate challenges related to unstructured data.
- Modern Data Accelerator (MDA) Implementation. Work with clients to implement, configure, and extend IBM’s Modern Data Accelerator assets. Provide valuable feedback to the development team regarding MDA extensions, focusing on improving the product offerings.
- Client Communication and Feedback. Collaborate with clients to understand their business needs and translate these needs into data-driven solutions. Provide analytical solutions that cater to both business and technical stakeholders.
- Training and Demos. Participate in MDA demos and conduct training for internal and client teams to showcase the capabilities of the solutions and tools offered by IBM.
- Collaboration with Cross-Functional Teams. Work closely with various technical teams to ensure smooth integration of solutions and to resolve challenges that arise during the deployment of data solutions.
- Continuous Improvement. Stay updated on the latest technologies and industry trends in data architecture, AI, and cloud-based solutions, and help guide the team on the best practices and emerging trends.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field from a premier institution.
Experience
- 2 to 5 years of hands-on experience in a data-centric role, particularly in data architecture, data management, and data integration.
- Experience with modern data management platforms and working with clients to deliver impactful data solutions.
Technical Skills
- Proficiency in NodeJS for front-end development and Python for data manipulation and backend development.
- Experience working with Generative AI (GenAI) to develop innovative data-driven applications and solutions.
- Solid understanding of data architecture principles, including the design and implementation of real-time and batch data processing systems.
- Strong ability to analyze data, identify patterns, and provide actionable insights.
- Experience in data integration challenges and crafting solutions for unstructured or complex datasets.
- Ability to communicate effectively with internal teams and external clients to gather requirements, provide feedback, and offer solutions.
- Comfortable explaining complex technical concepts to both technical and non-technical stakeholders.
- Excellent verbal and written communication skills to articulate analytical solutions and product demos.
- Ability to write clear and concise technical documentation and user guides.
Preferred Qualifications
- Familiarity with predictive or prescriptive modeling techniques to help clients leverage advanced analytics for improved decision-making.
- Previous experience in a consulting environment, working directly with clients to understand their needs and design solutions that drive business success.
- Experience working in Agile development teams, understanding Agile workflows, and the ability to deliver solutions iteratively.
- Certifications in cloud platforms like IBM Cloud, AWS, or Azure are a plus.
IBM's Commitment to Diversity. IBM is an equal opportunity employer and celebrates diversity within our workforce. We believe in building a culture where everyone, regardless of their background, has equal access to opportunities and the ability to thrive. We welcome applications from all individuals and do not discriminate based on race, gender, ethnicity, disability, sexual orientation, or any other protected status.
Why Join IBM?
- Impact. Help shape the future of enterprise-scale data solutions and transform businesses globally through technology.
- Growth. At IBM, you’ll have the opportunity to grow your career by working with the latest technologies and participating in high-impact projects.
- Innovation. Be a part of a company that’s committed to innovation, working on solutions that drive both business success and societal impact.
- Work-Life Balance. IBM values its employees and provides a flexible work environment to foster creativity and collaboration.