Teams at Entrada

Design, build, and optimize scalable data pipelines, warehouses, lakes, and processing systems for analytics and business intelligence. Ensure data quality, security, reliability, and cost efficiency while collaborating with data scientists, analysts, and engineers. Maintain technical documentation, support Databricks solutions, and apply emerging data engineering technologies. The role requires strong programming, SQL, ETL, orchestration, data modeling, cloud, and big data expertise.

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.