Solutions Engineer - DataPelago
Transform Enterprise AI & Analytics Infrastructure - The AI race is won in the first mile, not the last. And you'll be the technical expert who shows enterprises how to win it.
The Opportunity
This isn't just another technical sales role—this is your chance to be the trusted technical advisor for technology that's reshaping how enterprises process data for AI and analytics. As a Solutions Engineer at DataPelago, you'll be the technical bridge between breakthrough technology and real-world customer environments. You'll partner with enterprise customers to understand their unique infrastructure challenges and architect solutions that transform their data processing economics, joining a company led by executives who've created 500+ patents and built multi-billion-dollar businesses.
You're not just implementing technology; you're enabling the technical foundation for the next generation of AI and analytics at scale. The customer impact is transformational.
Key Responsibilities
Customer Use Case Assessment: Deep-dive into customer infrastructures to understand their current data processing architecture, performance bottlenecks, and technical constraints. Map existing Spark workloads, identify optimization opportunities, and design DataPelago integration strategies that maximize value while minimizing disruption.
Solution Architecture & Design: Create comprehensive technical solutions that seamlessly integrate DataPelago products into customer environments across Open Table Formats (Iceberg, Delta Lake, Hudi) and integrate seamlessly with existing Spark, Python, Scala, Java, and AI/ML frameworks.
Customer Success & Advocacy: Guide customer technical teams through proof-of-concept implementations, performance benchmarking, and production deployment planning. Lead workshops, training sessions, and architecture reviews with customer engineering teams. Transfer knowledge that enables customers to become successful with DataPelago technologies.
Product Feedback & Enhancement: Act as the voice of customer to our sales, marketing and product engineering teams. Identify common technical challenges, integration patterns, and enhancement opportunities that drive product roadmap priorities that will drive deals.
Required Qualifications and Skills
- 5+ years of experience in pre or post sales, solutions engineering or technical consulting in data and analytics
- Deep expertise in Lakehouse architectures, Open Table Formats (Iceberg, Delta Lake, Hudi), and modern data engineering patterns.
- Hands-on technical sales experience with Apache Spark, Python, Scala, Java, and AI/ML frameworks including implementation and performance optimization
- Strong public cloud knowledge (AWS, Azure, GCP) with experience in onboarding customers implementing data and analytics solutions
- Exceptional communication skills—able to explain complex architectural concepts through documentation, whiteboarding, and technical presentations
- Ability to thrive in a fast-paced, innovative environment where technical challenges energize you and customer success drives you
- Bachelor's degree in Computer Science or related technical field, Masters ideal
Ready to Accelerate Your Career?
If you're a hands-on technical sales expert ready to help enterprise customers transform their data processing capabilities, we want to hear from you. Reach us at [email protected]
Top Skills
What We Do
DataPelago is redefining how enterprises process data for AI and analytics at scale. As organizations race to operationalize artificial intelligence, they are discovering that the greatest barrier to progress isn’t a lack of models or talent – it’s the infrastructure beneath them. Data pipelines remain fragmented across specialized systems for analytics, AI, and data engineering, each optimized for specific workloads but incapable of operating as a cohesive whole. The result is inefficiency: duplicated data, stranded compute resources, and escalating costs that slow innovation.
DataPelago was founded to solve this challenge. Its flagship product, Nucleus, is the world’s first Universal Data Processing Engine (UDPE) – a new layer that sits between data lakes and query engines to unify data processing within a single, hardware-aware stack. Built from first principles for accelerated computing, Nucleus allows companies to process, move, and activate their data orders of magnitude more efficiently than existing systems.
At its core, Nucleus dynamically orchestrates workloads across heterogeneous compute environments – CPUs, GPUs, TPUs, and FPGAs – ensuring every job runs on the optimal hardware for maximum performance and efficiency. This unified approach eliminates the need to maintain separate infrastructure for different data workloads, dramatically reducing complexity and total cost of ownership by up to 40%.
Nucleus supports structured, unstructured, and semi-structured data in a single environment, enabling AI and analytics workloads to coexist seamlessly. It integrates easily with existing data ecosystems and open-source frameworks, providing enterprises with flexibility and performance without requiring code changes or proprietary lock-in.
With Nucleus, data teams can accelerate queries, streamline pipelines, and scale AI initiatives faster, all while controlling infrastructure spend. Early adopters across industries are leveraging the platform to speed up data preparation, model training, and real-time analytics by up to 10x, turning data from a bottleneck into a competitive advantage.
DataPelago’s mission is to make high-performance, cost-efficient data processing achievable for every enterprise. By bridging the gap between data infrastructure and AI innovation, the company is helping organizations unlock the full potential of their data, laying the foundation for a new era of intelligence at scale.
Why Work With Us
DataPelago is pioneering the world’s first Universal Data Processing Engine, unifying AI and analytics in a single, hardware-aware platform. We’re solving one of the biggest challenges in enterprise AI – making data infrastructure faster, simpler, and more efficient. Join us to build the foundation for the next era of intelligent computing.
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