--- title: 'Senior Software Engineer - Catalog at Dremio' canonical: 'https://feeny.ai/job/senior-software-engineer-catalog-dremio-portugal-0emc2f9rs91c' type: 'job' last_seen: '2026-11-11' --- # Senior Software Engineer - Catalog at Dremio - **Company:** Dremio - **Location:** Portugal - **Work type:** remote - **Posted:** 2026-08-04 - **Last confirmed live:** 2026-11-11 - **Apply:** https://www.dremio.com/careers/job-postings/?gh_jid=7822086003 ## Job description Be Part of Building the Future Dremio is the unified lakehouse platform for self-service analytics and AI, serving hundreds of global enterprises, including Maersk, Amazon, Regeneron, NetApp, and S&P Global. Customers rely on Dremio for cloud, hybrid, and on-prem lakehouses to power their data mesh, data warehouse migration, data virtualization, and unified data access use cases. Based on open source technologies, including Apache Iceberg and Apache Arrow, Dremio provides an open lakehouse architecture enabling the fastest time to insight and platform flexibility at a fraction of the cost.  Learn more at [www.dremio.com.](http://www.dremio.com/) ## About the role The Dremio Catalog team builds Dremioʼs Open Catalog, an enterprise data catalog based on Apache Polaris. The catalog provides a governed entry point for Iceberg tables and federated data sources across object stores,databases, data warehouses, and other lakehouse catalogs.As a Senior Software Engineer, you will own features from design through production. You will work on catalog services, metadata APIs, security, multi-tenant isolation, and integrations with Dremio and external query engines.This role suits an engineer who enjoys distributed systems, open standards, and software that must remain correct under concurrency and at scale.You will own changes from requirements through release and production support. After writing the specification and choosing an approach, you may use AI coding agents to help with implementation. You will review their work and validate its behavior, with particular attention to concurrency, authorization, compatibility, and failure handling. Changes that belong in Apache Polaris may also be contributed upstream. ## What youʼll be doing - Own multiple features within the Catalog team, from requirements and technical design through implementation, testing, rollout, and production support. - Extend Apache Polaris while preserving compatibility with the Iceberg REST Catalog specification. - Build catalog APIs and services for namespaces, tables, views, identities, permissions, and metadata operations. - Solve distributed systems problems involving consistency, concurrency, failure recovery, multi-tenancy, and service performance. - Diagnose production issues using logs, metrics, traces, and service data, then address the underlying cause. - Write design documents for the features you own and review designs from other engineers. - Work with query engine, security, platform, and product teams to define interfaces and manage dependencies. - Improve test coverage, operational tooling, and engineering practices in the areas you touch. - Review code with attention to correctness, security, maintainability, and performance. - Share technical knowledge with the team and help onboard or mentor newer engineers. - Contribute fixes and features upstream when they belong in Apache Polaris or another open-source project. - Use AI-assisted development tools for code comprehension, debugging, and test generation, while verifying their output through engineering review and testing. ## What weʼre looking for - Five or more years of professional software development experience, or equivalent practical experience. - Strong Java skills and experience with a substantial production codebase, supported by knowledge of data structures, algorithms, concurrency, API design, and distributed systems. - A record of owning backend or distributed-system features from design through rollout and production support, including estimating work and managing dependencies. - Ability to turn incomplete product requirements into implementation-ready specifications covering interfaces, invariants, failure cases, security, and acceptance criteria. - Experience directing AI coding agents, reviewing their plans and output, and correcting unsafe or unsuitable approaches. You remain accountable for every change you own, regardless of how the code was produced. - Strong code-review judgment, particularly around concurrency, authorization, compatibility, performance, and maintainability. - Experience validating changes through automated tests, static analysis, and production telemetry, then using that evidence to diagnose failures and address their root causes. - Clear written and verbal communication in specifications, design documents, technical discussions, and code reviews. - A bachelorʼs degree in Computer Science or a related field, or equivalent practical experience. Bonus points if you have - Experience with Apache Polaris, Apache Iceberg, or the Iceberg REST Catalog specification. - Knowledge of metadata catalogs, authorization systems, credential vending, or policy enforcement. - Experience building multi-tenant cloud services. - Familiarity with databases, transaction isolation, and consistency models. - Experience with Kubernetes and public cloud infrastructure. - Familiarity with Apache Spark, Apache Flink, Trino, or other engines that integrate with Iceberg catalogs. - Contributions to Apache or other open-source projects ## What we value At Dremio, we hold ourselves to high standards when it comes to People, Thinking, and Action. Our Gnarlies (that's what we call our employees) communicate with clarity, drive accountability, and are respectful towards each other. We confront brutal facts and focus on results while operating with a sense of urgency and building a "flywheel". People who like to jump in and drive momentum will thrive in our #GnarlyLife. Dremio is an equal opportunity employer supporting workforce diversity. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, age, marital status, protected veteran status, disability status, or any other unlawful factor. Dremio is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request accommodation due to a disability, please inform your recruiter. Dremio has policies in place to protect the personal information that employees and applicants disclose to us. Please click [here](https://docs.google.com/document/d/1CB96QFmOX-bFy48YFOe2GO5lmdawOpKKBj8DpTgsuNg/edit?usp=sharing) to review the privacy notice. Important Security Notice for Candidates At Dremio, we uphold trust and transparency as paramount values in all our interactions with customers, partners, employees, and the general public. We have been targeted by individuals creating fake domains similar to ours to scam prospects and candidates. Please note that all official communications from us will be from an @dremio.com domain. If you suspect you've been targeted by a scam, it's imperative to report the incident to your local law enforcement agencies. For more information about this type of scam, please refer to Dremio's official statement [here](https://www.dremio.com/blog/stay-alert-for-fraudulent-recruitment-attempts-that-falsely-claim-association-with-dremio/). Dremio is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company. ## About Dremio ## Company Overview - **One-liner**: Dremio provides the Agentic Lakehouse, an open, high-performance data lakehouse platform built on Apache Iceberg, Apache Arrow, and Apache Polaris, designed to accelerate AI and analytical workloads across all enterprise data. - **Entity Type**: Private (Series E) - **Headquarters**: Santa Clara, California, USA - **Founded**: 2015 - **Founders**: Tomer Shiran (CEO), Jacques Nadeau ## Core Business - **Primary industry/industries**: Data Infrastructure, Data Analytics, AI/ML Infrastructure - **Target customers**: B2B, Enterprise (trusted by Shell, TD Bank, Michelin, Amazon, Vanguard, World Bank Group, Maersk, E.ON, RWE) - **Mission or purpose statement**: To empower every knowledge worker and AI agent with instant, governed access to enterprise data through any LLM or tool of their choice. ## Products & Services - **Dremio Agentic Lakehouse**: An open, high-performance data lakehouse platform built on Apache Iceberg, Apache Arrow, and Apache Polaris. It features an AI Semantic Layer for business context, federated queries across any source without ETL, and autonomous management (clustering, optimization, compaction). It is designed to connect AI agents and analytics tools to enterprise data. - **Apache Polaris (Catalog)**: Dremio is a co-creator of Polaris, the leading Iceberg catalog, providing a fully managed and supported catalog with fine-grained and role-based access control for end-to-end governance. - **Apache Arrow (Engine)**: Dremio is a co-creator of Apache Arrow, the leading columnar, in-memory representation and interchange, which powers Dremio's intelligent query engine with LLVM-based code generation for maximum CPU efficiency. - **AI Semantic Layer**: Provides business context (metrics, definitions, relationships) to AI agents, ensuring they draw from the same source of truth and deliver accurate, trusted insights. ## Market Standing - **Valuation/Market Cap**: Not publicly available (Private company). Dremio has raised over $400M in total funding. - **Key Metric**: Total Funding of over $400M (Series E). Trusted by 2,000+ companies. - **Notable Investors/Partners**: Key investors include Sapphire Ventures, Lightspeed Venture Partners, Redpoint Ventures, Norwest Venture Partners, and others. Partners include AWS, Snowflake (via integrations), and others. - **Growth Signals**: Dremio is a lead contributor to Apache Iceberg and co-creator of Apache Arrow and Apache Polaris. In 2025, SAP announced its intent to acquire Dremio, signaling a major exit and validation of the technology. The company has 150,000+ users and serves 2,000+ companies. ## Competitive Advantages - **Open Standards Leadership**: As a co-creator of Apache Iceberg, Apache Arrow, and Apache Polaris, Dremio is deeply embedded in the open-source data ecosystem, ensuring interoperability and preventing vendor lock-in. - **Agentic Lakehouse**: The only lakehouse platform built specifically for AI agents, with an integrated AI Semantic Layer that provides business context and governance, ensuring AI agents deliver accurate, trusted answers. - **Zero ETL**: Federated queries allow users to access data across any source without moving or copying it, reducing complexity and cost. - **Autonomous Management**: The lakehouse self-optimizes with automatic clustering, compaction, and query acceleration (Autonomous Reflections), reducing administrative overhead. - **Performance**: Claims 10x faster query performance and 61-73% savings on data reads (per Nucleus Research). ## Strategic Focus - **AI-First Operations**: Dremio is embedding AI across all functions (engineering, sales, support) and building its platform specifically for AI agents. - **Open Standards Leadership**: Deepening its role as a key contributor to Apache Iceberg, Arrow, and Polaris to ensure interoperability and community-driven innovation. - **Agentic Data Platform**: The primary strategic focus is on becoming the definitive data platform for AI agents, providing a unified semantic layer and governed access for any LLM or tool. - **Growth & Scale**: Following the announced acquisition by SAP, the strategic focus will shift toward integration and scaling within SAP's ecosystem. ## Why Work Here - **Culture**: Dremio's culture is built on curiosity, urgency, and the belief that data can transform how people work. Core values include "Be Curious, Move Urgently," "Deliver Outcomes, Not Adoption," "Empower the Knowledge Worker," "Keep It Simple," and "Operate AI-First." - **Work Environment**: Hybrid workplace model. The company emphasizes "Focus on Results" and believes different roles call for different work environments. - **Perks & Benefits**: Pre-IPO stock options, volunteer time off, local benefits in each country, and a strong focus on learning and development (career goals, continuous feedback, "Gnarly Buddy" program). - **Recognition**: Named one of the "2022 Best Places to Work in the Bay Area" by the San Francisco Business Times. - **Engineering Culture**: Strong emphasis on open-source contribution (Apache Iceberg, Arrow, Polaris). The company is scaling fast and thinking in terms of scalability to serve hundreds and thousands of customers. The culture values clear communication, accountability, and respect. - **Team**: Employees are called "Gnarlies," and the mascot is "Gnarly the Narwhal." The company emphasizes a "gnarly" attitude of achieving unprecedented outcomes. ## Sources 1. [dremio.com](https://www.dremio.com/about/) 2. [dremio.com](https://www.dremio.com/) 3. [dremio.com](https://www.dremio.com/careers/) 4. [dremio.com](https://www.dremio.com/why-dremio/) 5. [dremio.com](https://www.dremio.com/careers/job-postings/) ## Other roles at Dremio - [Staff Software Engineer - Connectivity](https://feeny.ai/job/staff-software-engineer-connectivity-dremio-portugal-g3qwkb4kpqn4) — Portugal - [Software Engineer - Query Execution](https://feeny.ai/job/software-engineer-query-execution-dremio-portugal-ttz9hgs36e7b) — Portugal - [Senior Technical Release Manager](https://feeny.ai/job/senior-technical-release-manager-dremio-united-states-mpqakrrxknrh) — United States - [Senior Staff Software Engineer - Query Engine](https://feeny.ai/job/senior-staff-software-engineer-query-engine-dremio-portugal-m1th1ckkzwcd) — Portugal - [Senior Product Manager – Core Platform Infrastructure](https://feeny.ai/job/senior-product-manager-core-platform-infrastructure-dremio-united-states-d423wes69n70) — United States - [Future Opportunities](https://feeny.ai/job/future-opportunities-dremio-remote-bkrt600ryh84)