Teams at Entrada

Architect and lead implementation of an enterprise Generative AI Lakehouse platform on Databricks. Responsibilities include building document ingestion and structured extraction pipelines, enforcing anti-hallucination guardrails, developing Human-in-the-Loop review applications, integrating ERP feeds, and establishing governance, security, lineage, and auditability. The role also involves client consultation, architectural documentation, mentoring, and translating complex GenAI solutions for technical and executive stakeholders.

Design and scale Databricks Genie conversational data interfaces, including Genie Spaces, semantic layers, SQL guidance, testing, fine-tuning, and external integrations. Build optimized Python, SQL, and PySpark pipelines in Delta Lake, support LLM-based metadata enrichment and semantic optimization, and translate business requirements into reliable data models. Collaborate with stakeholders and maintain high standards for accuracy, performance, and governed enterprise data access.

Develop and execute sales strategies for consulting services, identify and qualify target accounts, manage opportunities from lead through close, and grow relationships with direct clients and technology partners. The role involves pipeline management, prospecting, targeted messaging, partner collaboration, market-facing activities, and representing Entrada at client meetings and industry events. Candidates should build credibility in data and analytics and use HubSpot, LinkedIn, AI, and other prospecting tools.