Leads discovery, scoping, and solution design for qualified client opportunities. Translates business problems into credible data and BI solutions, defining deliverables, assumptions, risks, teams, and effort. Partners with Sales on commercial proposals while owning technical and delivery credibility. Ensures delivery readiness, manages handoffs, supports the first 30 days after signing, and improves pre-sales processes through feedback, playbooks, standards, and performance metrics.

Design and operate production data pipelines and standardized data models for a multi-tenant Azure SaaS platform serving container terminals. Build near-real-time and batch ELT pipelines from operational systems, develop Go-based connectors, implement data quality monitoring, and support source-to-curated transformations across PostgreSQL layers. Collaborate directly with terminal operations staff while owning architectural decisions and platform scalability.

Build and own scalable Azure data platforms, SQL Server and Databricks environments, end-to-end pipelines, and maintainable data models. Apply Kimball dimensional modeling, solve complex client data problems, challenge unclear requirements, and communicate technical concepts clearly to technical and non-technical stakeholders. The role emphasizes production reliability, client impact, continuous learning, and collaboration in a fully remote European data consultancy.