Databricks Genie Architect

About Entrada AI Entrada AI is a specialized consulting partner and a strategic portfolio company of Databricks Ventures. We were recently named the Genie Partner of the Year (2026) for our work deploying Databricks Genie at enterprise scale—bridging the gap between AI ambition and the trusted, governed data required for accurate responses. With over 150 Databricks projects delivered, we unlock self-service analytics for Fortune 500 leaders. Databricks invested in us because of our technical excellence, placing us in the "inner circle" of the ecosystem. For our engineers, this means direct access to product roadmaps, private previews, and the teams building the platform. You will join a team of industry veterans who value clean architecture over quick fixes. We don't just maintain pipelines; we solve complex architectural challenges. About the Role As a Databricks Genie Engineer , you will be the driving force behind building next-generation conversational data interfaces. Your primary focus will be designing, implementing, and scaling intelligent, natural-language data assistants using Genie . You will bridge the gap between complex enterprise data warehouses and business users, enabling them to query databases using natural language. This role is a hybrid of cutting-edge Generative AI engineering and robust Data Engineering within the Databricks Lakehouse ecosystem. Key Responsibilities 1. Databricks Genie & Conversational AI Development (Core Focus) Genie Space Architecture: Design, configure, and maintain high-performing Databricks Genie Spaces tailored to complex business domains. Semantic Layer & Curation: Curate the semantic metadata, SQL queries, and golden instructions that guide Genie to ensure highly accurate, deterministic SQL generation. Testing & Fine-Tuning: Proactively test, benchmark, and fine-tune Genie responses to handle complex business logic, edge cases, and multi-turn conversations. Integration & Feedback: Connect Databricks Genie endpoints to custom web interfaces/external UIs and implement feedback loops to continuously improve accuracy. 2. GenAI & Data Engineering Support Data Pipelines & Spark: Build and optimize data pipelines using Python, SQL, and PySpark to ensure data in Delta Lake is perfectly structured and optimized for Genie's consumption. GenAI Orchestration: Utilize LLMs on Databricks for metadata enrichment, automated data labeling, and semantic optimization. 3. Collaboration & Implementation Business Translation: Act as a translator between business users (understanding what questions they ask) and the data platform (structuring schemas so Genie can answer them easily). Technical Requirements MUST HAVE Databricks Mastery: 4+ years hands-on experience with the Databricks ecosystem, with specific focus on Databricks Genie (or equivalent Text-to-SQL/semantic-layer work) , Unity Catalog , and Databricks SQL/Workflows. Excellent SQL & Data Modeling: Expert-level SQL skills (writing complex, performant queries) and experience structuring data (star schemas, gold tables, views) to be "Genie-ready." Production Python: Strong experience in writing clean, production-grade Python code. GenAI / LLM Concepts: Strong understanding of Text-to-SQL paradigms, prompt engineering, semantic routing, and RAG architectures. Big Data: Proficiency in Apache Spark (PySpark) for data transformation and orchestration. API Integration: Experience working with REST APIs to integrate GenAI endpoints into external applications. NICE TO HAVE MLflow & Model Serving: Manage model lifecycles and deploy endpoints utilizing the broader Databricks AI suite (MLflow, Databricks Model Serving). Soft Skills Analytical & Precise: Strong attention to detail, especially when auditing Genie's generated SQL for business accuracy. Bridge Builder: Ability to communicate effectively with business stakeholders to understand their language and translate it into semantic data models. Continuous Learner: Enthusiasm for keeping up with the rapid pace of Databricks and GenAI product updates. The Offer Cooperation Models : Poland: Available via Employment Contract (UoP) or B2B. Romania/ Greece: Available via B2B only. 100% Remote : Full flexibility to work from anywhere in Poland/ Romania / Greece High-End Tech : Apple MacBook Air M4 15" provided to all engineers. Referral Bonus : Bonus for bringing other top-tier engineers to the team. Professional Growth : Certification Support : Coverage for all Databricks technical certifications. Industry Leadership : Support in reaching the highest tiers of Databricks expertise (such as the Champion program) tailored to your specific career track. Personal Branding : Opportunities to present at global industry conferences and contribute to technical thought leadership. Expert Mentorship : Direct collaboration with Databricks MVPs and core product teams, giving you a front-row seat to the platform's evolution. Recruitment Process Introductory Call (20 min) : Short conversation with our Recruiter to discuss your background and expectations. Technical Interview (60 min) : Deep dive into your technical skills with our engineering team. Optional Client Interview : Required only in specific cases. Decision & Offer : We aim to close the process and provide feedback efficiently.