Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Databricks Solution Architect based in the United States.
This role is a senior technical leadership position responsible for designing and scaling a modern cloud-based data lakehouse platform built on Databricks. You will define the end-to-end architecture that powers large-scale analytics, machine learning, and data engineering across enterprise environments. The position plays a critical role in shaping how data is ingested, transformed, governed, and optimized across petabyte-scale systems. You will work closely with data scientists, analytics teams, and business stakeholders to turn complex requirements into scalable technical solutions. This is a hands-on architecture role combining deep engineering expertise with strategic platform ownership. You will also mentor engineers, establish technical standards, and influence best practices across the data organization. The environment is highly collaborative, cloud-native, and focused on delivering scalable, production-grade data systems.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Databricks Solution Architect based in the United States.
This role is a senior technical leadership position responsible for designing and scaling a modern cloud-based data lakehouse platform built on Databricks. You will define the end-to-end architecture that powers large-scale analytics, machine learning, and data engineering across enterprise environments. The position plays a critical role in shaping how data is ingested, transformed, governed, and optimized across petabyte-scale systems. You will work closely with data scientists, analytics teams, and business stakeholders to turn complex requirements into scalable technical solutions. This is a hands-on architecture role combining deep engineering expertise with strategic platform ownership. You will also mentor engineers, establish technical standards, and influence best practices across the data organization. The environment is highly collaborative, cloud-native, and focused on delivering scalable, production-grade data systems.