Teams at DATAPAO

Lead customer engagements building and productionizing AI and generative AI applications on Databricks. Responsibilities include architecture, technical delivery, client advisory, team leadership, workshops, MLOps, production pipelines, stakeholder communication, and technical enablement. The role requires strong Python, cloud, MLflow, Databricks, PySpark, SQL, Delta Lake, governance, LLM, and modern AI framework expertise in a consulting environment.

Manage end-to-end data engineering, cloud, and machine learning consulting projects for EMEA customers. Responsibilities include defining scope, objectives, budgets, timelines, and resources; coordinating cross-functional teams and stakeholders; managing risks, escalations, and customer communications; improving delivery processes; and ensuring adherence to project management standards and methodologies.

Leads a team of 5–6 data engineering consultants while overseeing customer project delivery. Responsibilities include mentoring and developing team members, managing delivery, advising EMEA customers, and remaining hands-on with scalable data pipelines, ETL/ELT, distributed systems, ML/MLOps, cloud migrations, batch and streaming workloads, and modern data platforms.