Join Verinext, a technology company that’s not just keeping up with the future, but actively shaping it. At Verinext, we firmly believe that work should be as enjoyable as it is rewarding. As a Presales Solution Architect, you’ll be stepping into an environment that thrives on innovation and fun. Our team-oriented culture isn’t just a buzzword; it’s a cornerstone of our success. We’re incredibly proud to have been recognized as a "Best Place to Work" by the Philadelphia Business Journal for 10 consecutive years.

Verinext is searching for a Presales Solution Architect to focus on helping our clients design & build data, AI, and automation solutions. You will perform architecture activities in various industries which will allow you to develop your skills and knowledge to the full extent.

We provide end-to-end data & analytics consulting expertise to our clients from strategy & design to implementation and managed services. This role requires a combination of strong technical experience and “trusted advisor” relationship building with prospects and clients. Excellent communication and presentation skills are a must.

To succeed in this role, you should know how to design and articulate modern data solutions to clients in an ever-changing data landscape. The ideal candidate will have proven experience in data analysis and management, with excellent analytical and problem-solving abilities.

Roles/Responsibilities

• Conduct workshops with key stakeholders to gather technical and functional requirements
• Design technical solutions based on business requirements
• Analyze current business practice, processes, and procedures as well as identifying future business opportunities for leveraging Data & Analytics solutions on various platforms
• Develop client proposals that provide details of project scope, approach, deliverables, pricing, and timelines for Data & Analytics solutions
• Assist with go-to-market solution development in the Data & analytics space
• Provide solution oversight to delivery project teams

Skills/Qualifications:

• Minimum of 7+ years of experience in a technical role with extensive exposure to data & analytics architecture
• Hands-on experience in projects relating to data solutions (data lake, system integration, data migration, data warehousing, and experience with cloud-based data platforms)
• Stay up-to-date on modern data solutions such as generative AI, machine learning, data platforms, data streaming, delta lake, data mesh, and data security best practices
• General knowledge of cloud native computing, public hyperscalers (Azure, AWS and/or GCP)
• Ability to work closely with technical teams, including: data, DevOps and software engineering
• Results driven with a strong analytical mindset and problem-solving ability
• Strong communication skills with the ability to explain complex technical concepts to a variety of audiences
• Proactive team member, taking ownership and accountability in your work
• Strong business acumen
• Enjoy working in client facing roles
• Bachelor’s degree in computer science, computer engineering, or relevant field or work experience