Senior Data Engineer (Databricks)

This Data Engineer role focuses on building and maintaining data pipelines and infrastructure using Databricks. Responsibilities include developing ETL processes, optimizing data workflows, and ensuring data quality and availability for analytics and business intelligence.

This role is a principal-level data engineering position focused on building and scaling the Databricks and AI platform. The engineer will design and implement data pipelines, optimize data architecture, and enable advanced analytics and machine learning capabilities.

This role leads the design and implementation of Databricks-based solutions for enterprise clients. The Senior Director Solution Architect defines technical architecture, guides best practices, and ensures successful deployment of data platforms, requiring deep expertise in Databricks, big data technologies, and cloud infrastructure.

This role designs, builds, and maintains scalable data pipelines and integrations within a Databricks-based data platform. The engineer will focus on expanding the data ecosystem by onboarding new data sources and integrating them into the existing infrastructure. Key responsibilities include ensuring data quality, performance, and reliability of the pipelines.

This role takes ownership of a well-defined stream or mission, building and deploying AI agents and solutions while coaching junior consultants. The senior builder designs engaging learning experiences, prototypes functional AI solutions (no-code, low-code, vibe coding), and drives adoption through office hours and train-the-trainer programs. Success is measured by real adoption, team autonomy, and tangible changes in daily work.

This role leads AI adoption missions and programs, driving AI from experimentation to business transformation. The manager defines upskilling programs, builds agents and AI solutions (no-code, low-code, vibe coding), and manages teams, budgets, and client relationships. Responsibilities include scoping with L&D/HR, overseeing solution development, and structuring change management with KPIs and dashboards.

This role builds production-grade business applications and agents in partnership with an AI Product Manager. The engineer is responsible for frontend, backend, and APIs, integrating AI agents into business processes with human-in-the-loop controls, and ensuring monitoring and adoption post-production. The role requires tested code in Python or TypeScript and experience with coding agents.