Databricks Resident Solutions Architect

This role sits within the Engineering department and supports Ultra Tendency’s expanding Databricks practice. It is a customer-facing architecture position for enterprise data and AI transformation, working with client teams, executives, engineers, and consulting colleagues across strategic engagements.

The architect designs and reviews scalable solutions on the Databricks Lakehouse Platform, leads architecture workshops, translates business needs into implementation plans, and helps resolve delivery blockers. The work covers data engineering, analytics, machine learning, GenAI, data pipelines, Lakehouse design, Unity Catalog, governance, security, cloud migration, and platform operations. The role also contributes to reference architectures, customer enablement, technical discovery, proposals, and proof-of-concept activities.

Applicants need at least seven years of experience in data engineering, cloud architecture, analytics, or a related field, including at least three years working with Databricks in enterprise environments. The posting also requires hands-on Lakehouse architecture experience, knowledge of modern data platforms and cloud-native solutions, proficiency in Python, SQL, and Spark, experience with executive and technical stakeholders, and experience with at least one major cloud platform.