- Architect and deliver scalable, efficient data solutions that cater to business requirements, including data warehousing, big data, and analytics platforms.
- Engage in presales activities, understanding client requirements, and crafting proposals that showcase the value of our data solutions, enriched by AI capabilities where applicable.
- Drive the adoption of cloud-based data services and technologies, designing architectures that are both robust and flexible to future AI integrations.
- Guide clients through the data transformation journey, from strategy and roadmap development to execution
- Work closely with clients and internal teams to ensure successful implementation of data projects, offering insights into how AI can further enhance data analytics and business intelligence.
- Maintain a pulse on emerging data and AI technologies, tools, and practices, integrating this knowledge into projects to keep our offerings at the cutting edge.
- Facilitate the smooth transition of AI concepts into practical data solutions, bridging the gap between traditional data analytics and innovative AI applications.
- Provide mentorship and guidance to team members, fostering a culture of innovation and continuous improvement.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field.
- At least 5 years of experience in a solution architect role, focusing on data technologies, with some exposure to AI or a strong interest in developing AI-related skills.
- Solid foundation in data architecture, data modeling, and data warehousing principles, with hands-on experience in big data technologies (e.g., Hadoop, Spark).
- Familiarity with AI and machine learning concepts and their application in enhancing data analytics and decision-making processes.
- Experience with cloud data platforms (AWS, Azure, Google Cloud) and understanding of how to architect for scalability, security, and performance.
- Demonstrated ability in presales, including crafting technical solutions and proposals, and engaging effectively with clients.
- Strong analytical and problem-solving skills, combined with excellent communication abilities, to translate complex technical concepts into business value.
- Relevant certifications in data technologies, cloud services, or foundational AI/machine learning are desirable.
