The Modern Data Company is redefining data management for the AI era, transforming data from a technical challenge into a company’s most powerful business asset. Modern's DataOS platform is the world's first operating system for data, providing a breakthrough layer that integrates with any data stack, no rip and replace.
Fortune 1000+ enterprises use DataOS to scale AI and solve mission-critical data challenges. With DataOS, enterprises are accelerating AI adoption by up to 90% while reducing data consumption and platform costs by 50%. Modern’s rapidly expanding customer base includes global category leaders across a wide range of global industries. They trust DataOS to power their AI and business transformation.
We are looking for a Pre-Sales Architect to join our Solution Engineering team—a customer-facing group that works closely with Sales, Product, and Customer Success to design and showcase impactful data solutions.
In this individual contributor role, you will lead enterprise pre-sales engagements by understanding customer data challenges, designing solution architectures, and delivering compelling, story-driven demos and proof-of-value solutions. You will act as a technical authority during sales cycles, ensuring solution feasibility and strong alignment with customer environments.
You will also build and maintain scalable demo pipelines and reference architectures using modern data platforms, ensuring demos are production-aligned and reusable across industries such as BFSI, Manufacturing, and Retail.
Key Responsibilities
Partner with Sales during customer engagements to understand requirements and tailor demos and solutions.
Own technical solutioning, demos, and PoVs during enterprise sales cycles.
Address technical questions, validate architectures, and support competitive positioning.
Build and maintain demo pipelines highlighting data quality, lineage, governance, and analytics.
Provide technical feedback to Product and mentor junior engineers within the team.
10–15 years of experience in data engineering, architecture, or solutioning roles.
Strong experience in customer-facing or consultative environments.
Hands-on expertise with modern data platforms, Python, SQL, Spark, and data pipelines.
Excellent communication and storytelling skills for technical and business audiences.
Ability to learn quickly and adapt to new domains and technologies.
Experience with Data Mesh, Data Fabric, or Data-as-a-Product concepts.
Exposure to data governance, compliance, and AI/ML-enabled data platforms.
Competitive compensation with performance-based incentives and strong growth upside
Comprehensive health and wellness benefits
Flexible time off and company holidays
Remote, hybrid, and flexible work options (role dependent)
Opportunities for rapid professional growth in a modern data ecosystem
A collaborative, low-bureaucracy environment with real ownership and measurable impact
Clear growth paths as the company scales
Modern is an equal opportunity employer and is committed to building a diverse and inclusive workplace. We encourage candidates from all backgrounds to apply.
If you are passionate about data-driven innovation, building impactful solutions, and growing in a high-ownership environment, we’d love to have you join us on this journey.
