Data Management Architect

About the role

Perficient is a global AI-first consultancy. Our team of strategists, designers, technologists, and engineers partners with the world’s most innovative enterprises and admired brands to deliver real business results through the transformative power of AI. As part of our AI-First strategy, we empower every employee to build AI fluency and actively engage with AI tools to drive innovation and efficiency. We break boundaries, obsess over outcomes, and shape the future for our clients. Join a company where bold ideas and brilliant minds converge to redefine what’s possible – while building a career filled with growth, balance, and purpose. This role is primarily office-based at a local Perficient location in the United States, with travel and on-site client engagements expected as needed.

Responsibilities

• Provide best‑fit architectural solutions for one or more projects.
• Assist in defining scope and sizing of work.
• Anchor Proof of Concept developments.
• Provide solution architecture for business problems.
• Perform platform integration with third‑party services.
• Design and develop complex features for clients' business needs.
• Collaborate with industry talent to create and implement innovative, high‑quality solutions.
• Participate in sales and pursuits focused on clients' business needs.
• Contribute to thought leadership, mentorship, systems analysis, architecture, design, configuration, testing, debugging, and documentation.
• Challenge leading‑edge solutions, consultative and business skills through diverse work across multiple industry domains.

Requirements

The Solutions Architect is expected to be knowledgeable in two or more technologies within the Data & Analytics domain. The Solutions Architect may or may not have a programming background, but will have expert infrastructure architecture, client presales/presentation, team management, and thought leadership skills.

Skills

• Expert infrastructure architecture
• Client presales and presentation skills
• Team management
• Thought leadership
• Knowledge of two or more technologies within the Data & Analytics domain (programming background optional)