Granica is pioneering data optimization for large-scale AI and analytics Our unified platform enables enterprises to dramatically reduce storage and compute costs while accelerating data pipelines - unlocking faster more efficient access to intelligence at petabyte scale At the heart of Granica s mission is the belief that data is the foundation of up-to-date AI Realizing its full potential requires rethinking how data is managed moved and made useful That s why we bring together world-class talent in AI research distributed systems and business to tackle the hardest challenges in data at scale Backed by leading investors including NEA and Bain Capital Ventures Granica is helping the world s most forward-thinking organizations build a smarter more cost-efficient data layer for the AI era 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 using PySpark and Python often in mission-critical environments Configure and integrate modern data lakehouse and warehouse technologies including Apache Iceberg Apache Hive Delta Lake Snowflake and Databricks 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 experience in software engineering data engineering or infrastructure roles Strong proficiency in Python and PySpark with the ability to write clean effective and scalable code Proven experience building data 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 problems that push the boundaries of what s possible in data infrastructure and AI Work with top-tier engineering talent from companies like Google Tesla and Palantir and bleeding-edge data technologies Own and lead critical projects with high visibility and impact Flexible remote work culture 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 VCs with 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 Adaptable remote work and unlimited PTO Quarterly recharge days and annual team off-sites Budget for learning development and conferences Granica 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

📌 Lakehouse Engineer (India)
🏢 Granica
📍 India