About Granica Granica is redefining how enterprises prepare and optimize data at the most fundamental layer of the AI stack—where raw information is transformed into usable intelligence. We’re built to streamline cloud infrastructure, reduce storage and compute costs, and accelerate data pipelines, therefore helping companies turn massive raw datasets into intelligent, usable fuel for AI. In short: we build better data for better AI. Smarter Infrastructure for the AI Era: We make data efficient, safe, and ready for scale—think smarter, more foundational infrastructure for the AI era. Our technology integrates directly with modern data stacks like Snowflake, Databricks, and S3-based data lakes, enabling: 60%+ reduction in storage costs and up to 60% lower compute spend 3x faster data processing 20% platform efficiency gains Trusted by Industry Leaders Enterprise leaders globally already rely on Granica to cut costs, boost performance, and unlock more value from their existing data platforms. A Deep Tech Approach to AI We’re unlocking the layers beneath platforms like Snowflake and Databricks, making them faster, cheaper, and more AI-native. We combine advanced research with practical productization, powered by a dual-track strategy: Research: Led by Chief Scientist Andrea Montanari (Stanford Professor), we publish 1–2 top-tier papers per quarter. Product: Actively processing 100+ PBs today and targeting Exabyte scale by Q4 2025. Backed by the Best We’ve raised $60M+ from NEA, Bain Capital, A Capital, and operators behind Okta, Eventbrite, Tesla, and Databricks. Our Mission To convert entropy into intelligence, so every builder—human or AI—can make the impossible real. We’re building the default data substrate for AI, and a generational company built to endure beyond any single product cycle.Job Summary We are looking for an exceptionalLakehouse Engineerbased inIndia , who thrives at the intersection of engineering, data infrastructure, and customer success. As an FDE, you’ll work directly with enterprise users tointegrate Granica’s platform into complex cloud environments , support proof-of-value deployments, and serve as the technical voice of the customer to internal product and engineering teams. You’ll need to be equally comfortable coding, architecting solutions, debugging distributed systems, and communicating value clearly to technical stakeholders.What You’ll Do Partner closely with customers to understand their technical environment, data challenges, and integration needs. Design and implement robust, scalable data pipelines from scratch usingPySparkandPython , often in mission-critical environments. Configure and integrate modern data lakehouse and warehouse technologies includingApache Iceberg ,Apache Hive ,Delta Lake ,Snowflake , andDatabricks . Act as a trusted technical advisor—guiding customers through solution architecture, deployment, and troubleshooting. Contribute to internal tooling and automation to improve deployment velocity and system reliability. Collaborate with Granica’s engineering and product teams to influence roadmap decisions based on real-world customer use cases. Be an ambassador of the Granica product, both internally and externally.What We're Looking For Must-Have Qualifications: 5–10 years of hands-on experiencein software engineering, data engineering, or infrastructure roles. Strong proficiency inPythonandPySpark , with the ability to write clean, efficient, and scalable code. Proven experience buildingdata pipelines from scratch , including ingestion, transformation, and optimization. Deep understanding and hands-on experience with:Apache Iceberg,Apache Hive, Apache Delta Lake, Snowflake, Databricks Experience working with large-scale data systems and distributed computing architectures. Ability to thrive in fast-paced, ambiguous environments typical of early-stage startups. Excellent problem-solving, communication, and customer-facing skills. Nice-to-Haves: Experience with Kubernetes, Terraform, or cloud-native infrastructure (AWS/GCP/Azure). Familiarity with security and privacy best practices in data processing pipelines. Prior experience in customer-facing technical roles (solutions engineer, customer engineer, etc.) is a strong plus. Why Granica? Work hands-on with petabyte-scale datasets , design performant systems and compression algorithms that matter Tackle meaningful problemsthat push the boundaries of what’s possible in data infrastructure and AI Work with top-tier engineering talentfrom companies like Google, Tesla, and Palantir and bleeding-edge data technologies. Own and lead criticalprojects with high visibility and impact. Flexible remote workculture with a globally distributed team. Outcome-driven culture : Low ego, high trust, customer-obsessed. We scaled to multimillion-dollar ARR without a dedicated sales team—just product pull and ROI. Generous benefits : Unlimited PTO, flexible hybrid setup, competitive compensation, full health coverage Backed by top-tier VCswith strong runway and bold ambitions. Benefits : Highly competitive compensation with uncapped commissions and meaningful equity Immigration sponsorship and counseling Premium health, dental, and vision coverage Flexible remote work and unlimited PTO Quarterly recharge days and annual team off-sites Budget for learning, development, and conferencesGranica celebrates diversity and is committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law.
Job Title
Lakehouse Engineer