--- title: Senior Software Engineer — Lakehouse Systems at Granica description: Granica is hiring for the Senior Software Engineer — Lakehouse Systems role in San Francisco, CA. See the full description and apply. type: job url: https://www.foundrole.com/jobs/senior-software-engineer-lakehouse-systems-at-granica-01a113c0-6e4e-7246-9b7d-a2d87a893f4e date: 2026-10-07T01:17:13Z og_description: Join Granica as Senior Software Engineer — Lakehouse Systems in San Francisco, CA. Pays $160K–$240K per year. Full-time, on-site role. og_image: https://www.foundrole.com/og/b5w0yp.png breadcrumbs: - label: Home url: https://www.foundrole.com/ - label: Search url: https://www.foundrole.com/jobs --- | | | |---|---| | **Company** | Granica | | **Location** | San Francisco, CA | | **Salary** | $160K/yr - $240K/yr | | **Type** | Full Time | | **Posted** | Oct 06, 2026 | ## Description # Senior Software Engineer — Lakehouse Systems **Location: Mountain View, CA — On-site** ## About Granica Granica builds AI infrastructure for enterprises operating massive data environments. Our platform helps data and engineering teams reduce storage and compute costs, improve performance and reliability, and prepare large datasets for analytics and AI. Granica’s products include: - **Crunch** — continuous optimization for enterprise lakehouse data - **Myelin** — stateful infrastructure for long-running AI agents - **Large Tabular Models** — foundation models designed for enterprise tables Together, we are building the infrastructure that enables enterprises to own their data, own the intelligence built on it, and scale both efficiently. Granica has demonstrated approximately $200K in annualized value per petabyte and verified customer value within weeks. ## About the Role Granica is hiring a Senior Software Engineer to build foundational lakehouse systems for AI. You will work on the core infrastructure behind **Crunch**, Granica’s continuous optimization product for enterprise lakehouse data. This includes systems for metadata management, transaction semantics, table maintenance, object-store-backed storage layouts, file optimization, and lakehouse cost/performance across petabyte- and exabyte-scale environments. You will own core systems that directly affect customer infrastructure cost, query performance, table reliability, and the operational health of large lakehouse environments. This is a hands-on systems role for engineers who have gone deep on **lakehouse internals, table formats, metadata systems, storage layout, or distributed storage infrastructure**. ## What You’ll Do - Build metadata, transaction, and table-maintenance systems for large-scale lakehouse datasets - Work with Iceberg, Delta Lake, Hudi, manifests, snapshots, transaction logs, schema evolution, and garbage collection - Optimize compaction, clustering, file sizing, data skipping, pruning, and physical data layout - Improve performance and cost efficiency across Parquet/ORC and object stores such as S3, GCS, and ADLS - Debug and optimize bottlenecks across metadata, storage, table maintenance, object-store access, and query execution ## What We’re Looking For - Deep engineering experience in distributed systems, storage systems, databases, or data infrastructure - Production experience **building, extending, or deeply optimizing** lakehouse or table-format systems such as Iceberg, Delta Lake, Hudi, or similar technologies - Strong understanding of metadata architectures, transaction semantics, snapshots, manifests, schema evolution, and physical data layout - Hands-on experience with table maintenance, compaction, clustering, file sizing, Parquet/ORC, and cloud object stores such as S3, GCS, or ADLS - Strong programming skills in Java, Scala, Go, Rust, C++, or a similar systems-oriented language, with a pragmatic end-to-end builder mindset ## Bonus - Contributions to Iceberg, Delta Lake, Hudi, Parquet, ORC, Spark, Trino, Flink, Velox, DuckDB, DataFusion, or related systems - Experience with small-file optimization, metadata scaling, delete handling, catalog consistency, indexing, caching, compression, or storage-engine internals - Research or open-source contributions in distributed systems, databases, storage, compression, or data processing ## Why Join Granica - Build foundational infrastructure for enterprise data and AI - Work on deep systems problems across lakehouse metadata, table formats, storage layout, and object-store behavior - Own meaningful parts of the architecture in a small, high-caliber engineering team - Work directly with Product, Engineering, and company leadership - Have direct impact on customer performance, infrastructure cost, product direction, and company growth # **Compensation & Benefits** - Competitive salary, meaningful equity, and performance bonus for top performers - 401(k) with company match, comprehensive health coverage, and unlimited PTO - Daily catered meals in our Mountain View office - Support for research, publication, and conference participation **At Granica, you'll help build the next generation of enterprise AI**—from **exabyte-scale data infrastructure**, **Large Tabular Models (LTMs)**, and **stateful AI agents**. Together, we're creating the infrastructure that enables enterprises to **own their data**, **own the intelligence built on it**, and **scale both efficiently**.   ## Skills - Apache Iceberg - Cloud Computing - Data Lakehouse - Debugging - Pruning - Apache Parquet - Go - Query Optimization - Open-Source Software - Caching - Activities Of Daily Living (ADLs) - Amazon S3 - Schema Evolution - Apache Spark - Statistics - Apache Flink - Trino - DuckDB - C++ - Apache Hudi - Delta Lake - Soil Compaction - Scala - Cluster Analysis - Rust - Maintenance - Data Fusion - Databases - Java - Data Processing - Storage Systems - Distributed Systems ## Benefits - Health Insurance - Paid Time Off (Pto) - 401(k) Plans - Food and Meals ## Related - [Technology & Software jobs](https://www.foundrole.com/careers/technology-and-software?utm_source=ai_markdown)- [Software Development jobs](https://www.foundrole.com/careers/technology-and-software/software-development?utm_source=ai_markdown)- [Software Developer / Engineer jobs](https://www.foundrole.com/careers/technology-and-software/software-development/software-developer-engineer?utm_source=ai_markdown)- [Browse all companies](https://www.foundrole.com/companies?utm_source=ai_markdown) ## Explore this job market - [California](https://www.foundrole.com/locations/us/california?utm_source=ai_markdown) — 265630 jobs - [San Francisco, CA](https://www.foundrole.com/locations/us/california/san-francisco?utm_source=ai_markdown) — 26852 jobs - [Data Infrastructure and Analytics](https://www.foundrole.com/sectors/technology/data-infrastructure-and-analytics?utm_source=ai_markdown) — 14047 jobs ## Related pages - [California](https://www.foundrole.com/locations/us/california?utm_source=ai_markdown) — 265630 jobs - [San Francisco, CA](https://www.foundrole.com/locations/us/california/san-francisco?utm_source=ai_markdown) — 26852 jobs - [Data Infrastructure and Analytics](https://www.foundrole.com/sectors/technology/data-infrastructure-and-analytics?utm_source=ai_markdown) — 14047 jobs ## Browse - [Companies](https://www.foundrole.com/companies?utm_source=ai_markdown) - [Jobs by country](https://www.foundrole.com/locations?utm_source=ai_markdown) - [Jobs in the United States by state and city](https://www.foundrole.com/locations/us?utm_source=ai_markdown) - [H1B sponsors by location](https://www.foundrole.com/h1b-sponsors?utm_source=ai_markdown) - [H1B salaries](https://www.foundrole.com/h1b-salaries?utm_source=ai_markdown) - [Sectors and industries](https://www.foundrole.com/sectors?utm_source=ai_markdown) - [Jobs by career field](https://www.foundrole.com/careers?utm_source=ai_markdown) - [Latest jobs](https://www.foundrole.com/jobs/latest?utm_source=ai_markdown)