Note- This is for Bangalore (India) Location
Enable customers successfully adopt our engine to fulfill their business use-case, in pre-sales and post-sales scenarios. Maintain sound knowledge of our engine, competing alternatives from other vendors, and customer’s requirements. Collaborate with engineering, as needed, in developing solutions, and with customers in helping them realize their business objectives.
- Domain expertise includes: Lakehouse’s, data governance and management, data engineering, analytics, SQL, AI/ML, and public clouds.
- Hand-on to guide technical evaluation activities throughout the sales process.
- Member of the sales team and lead technical advisor. Work with the DataPelago product team as the customer advocate.
- Help build and move prospects through the stages of the sales pipeline, converting them into customers.
- Design and implement data driven business outcomes using DataPelago’s analytic engine on Lakehouse platforms.
- Utilizing Lakehouse platforms and the associated Data Governance policies. This requires understanding the Lakehouse and surrounding ecosystem of tools and applications.
- Apply Data management lifecycle principles: data modeling, ingestion, integration, and transformation.
- Responsibilities will include presentations, demos, benchmarks, and executing proof of concepts which demonstrate the value proposition of superior performance and TCO.
Results and impact:
- Become a “Trusted Advisor” by the customer - Be viewed as an SME for analytics and data engineering on Lakehouse platforms.
- Guide customers on effective Data Management and Data Governance best practices.
- Lead clients through evaluating and adopting DataPelago’s product(s).
- Demonstrate the value proposition through measurable performance and TCO advantages over competitors.
- Influencing and authoring customer reference architectures to include DataPelago.
- Engagement with the customers technical community, including external influencers such as Systems Integrators and consultants, through workshops, demos, benchmarks and proof of concepts.
- Collaboration and teamwork with other members of the sales and product teams, leading to customer wins and expansion.
- Mentoring junior Solution Architects to develop and enhance their skills and experience.
Skills and Experience:
- Communications effectiveness. An ability to share technical concepts through presentations and white boarding.
- Deep domain expertise in Lakehouse’s (Delta Lake and Iceberg), data engineering, analytics, SQL, AI/ML.
- Data Governance and Management experience with the following: Databricks Unity Catalog, Delta Live Tables (DLT), Delta Merge, Hive Metastore, and Data Pipelines.
- Architecture design and implementation experience. Real world experience, not just theory.
- Public Cloud experience (AWS, Azure, and GCP), including onboarding customers.
- Hands-on experience and proficiency with: SQL, Spark, Python, Scala, Java, AI/ML.
- Pre-sales and post-sales experience.
- Bachelor Degree in computer science, Masters preferred.
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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