Pre-Sales Architect

We are looking for a Pre-Sales Architect to join our Solution Engineering team—a customer-facing group that builds impactful data solutions for complex business problems, accelerators and experiences on top of DataOS.

In this individual contributor role, you will drive enterprise pre-sales engagements by understanding customer’s data challenges, designing solution architectures, and delivering compelling, story-driven demos, accelerators, proof-of-value and solutions. You will act as a technical authority during sales cycles, ensuring solution feasibility and strong alignment with customer’s environments.

You will also build demos and reference architectures using modern data stack, ensuring they are reusable across industries such as BFSI, Manufacturing, and Retail.
Responsibilities

Collaborate closely with Sales teams—primarily in APAC and EU regions, and occasionally with US counterparts—to understand the problem statement, existing data infrastructure, and architectural limitations.

Address technical questions, validate architectures, and support competitive positioning.

Own technical solutioning, demos, and proof-of-value showcase during enterprise sales cycles.

Provide technical feedback to Product and mentor junior engineers within the team.

Must-Haves

10–15 years of experience in data engineering, architecture, or solutioning roles.

Excellent communication and storytelling skills for technical and business audiences.

Proven experience in customer-facing, consultative roles within enterprise environments.

Experience with major cloud platform (AWS, Azure, or GCP), Snowflake, Databricks or Microsoft Fabric.

Ability to learn quickly and adapt to new domains and technologies.

Preferred

Experience with Data Mesh, Data Fabric, or Data-as-a-Product concepts.

Exposure to data governance, compliance, and AI/ML-enabled data platforms.

Benefits

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.

About Solution Engineering

The Solution Engineering team serves as the technical backbone and strategic enabler for Sales, working in close collaboration with Product Management and Platform Engineering teams to ensure that prospect expectations are effectively met, ultimately driving the conversion of prospects into customers.

This team is responsible for designing, developing, and delivering tailored technical solutions that align with the business goals of prospects, showcasing the product’s capabilities through customized demos, proof of value (PoV) cases, and basic competitive/collaboration analysis. The team brings together technical expertise, data expertise, customer insights, product thinking, and problem-solving acumen to create compelling value propositions.

About Modern

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.