Principal Data Solutions Architect

Math Co® (The Math Company ) is a global Enterprise AI and Analytics company trusted by Fortune 500 and Global 2000 enterprises for data-driven decision-making. Founded in 2016, Math Co builds custom AI and advanced analytics solutions focused on solving complex enterprise problems through its innovative hybrid delivery model.
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, Math Co’s proprietary platform with pre-built workflows and reusable plug-and-play modules, enables connected intelligence at lower total cost of ownership.

We foster an open, transparent, and collaborative culture that values technical excellence, ownership, and curiosity. At Math Co, individuals are empowered to build, influence, and leave a mark.

The Principal, Data Solutions Architect is a senior, technically credible pre-sales role that sits at the intersection of engineering expertise, solution architecture, and go-to-market execution. This role exists to ensure Math Co brings strong, delivery-grounded technical leadership into enterprise sales conversations across data, analytics, cloud, and AI.

Reporting into the Chief Product Officer, the Principal, Data Solutions Architecture partners closely with GTM, Data and Engineering and Technology leadership to shape solution approaches, define architectural direction, and validate feasibility early in sales cycles. This role supports direct sales, partner-led pursuits, and complex enterprise engagements, and is not tied exclusively to alliance or co-sell work.

The Principal, Data Solutions Architect acts as the technical authority in the room, helping clients and internal teams understand how Math Co would realistically execute proposed solutions
-without owning commercial closing or day-to-day delivery.

This role is ideal for someone who began their career in hands-on delivery, has grown into architecture and solutioning roles, and is comfortable influencing deals through technical credibility rather than selling or execution ownership.

• Translate scoped or high-level requirements into clear solution approaches across data engineering, cloud, analytics and AI
• Define architecture patterns, delivery assumptions, and capability points of view used during sales cycles
• Create solution narratives that demonstrate how Math Co would execute, not just what we would propose
• Support sales pursuits by validating feasibility, sizing effort at a high level, and identifying delivery risks
• Act as the technical authority in early customer conversations, grounding discussions in real engineering constraints and best practices

• Operate as part of a central GTM motion, partnering closely with:
• Data & Engineering leadership
• Support solutioning consistently across opportunities, whether direct or partner-led
• Ensure technical coherence and repeatability across GTM pursuits
• Contribute to reusable solution frameworks, reference architectures, and GTM artifacts
• Leverage prior delivery experience to ensure proposed solutions are realistic, scalable, and aligned to Math Co’s delivery model
• Provide clear technical context as opportunities transition from pre-sales toward execution
• Share client and market feedback to help refine Math Co’s data and technology offerings over time

Core Experience

• 12–16 years of experience in data engineering, analytics, AI, or cloud consulting roles
• Background in boutique or mid-sized consulting firms with strong data and AI practices
• Early-career experience in hands-on delivery, followed by progression into architecture or solutioning roles
• Demonstrated ability to shape solutions without owning implementation

Technical Foundation

• Strong architecture-level understanding of:
• Data engineering and modern data platforms
• Analytics and BI ecosystems
• AI/ML concepts (applied understanding, not research-focused)
• Comfortable discussing tradeoffs, scalability, and delivery implications

Pre-Sales & Solutioning Strength

• Experience supporting sales cycles through solution design and technical points of view
• Comfortable working from scoped or partially defined requirements
• Strong written and verbal communication with technical and semi-technical audiences
• Ability to operate confidently in ambiguous, enterprise environments

Nice to Have

• Experience working with hyperscaler ecosystems (AWS, GCP, Azure)
• Familiarity with reference architectures and cloud-native services
• Prior exposure to partner-led or co-sell motions
• Consulting experience in enterprise domains such as CPG, Retail, Pharma, or BFSI

Being a Mathemagician

• Embrace Math Co’s culture of ownership, transparency, and collaboration
• Contribute to firm-building initiatives and continuous improvement
• Value diverse perspectives and help foster inclusive, high-performing teams