Resident Solutions Architect

Resident Solutions ArchitectType: Full-timeSeniority: Senior / PrincipalAbout the RoleWe're hiring a **Resident Solutions Architect** for a leading Databricks consulting and systems-integration partner. ("Resident" means you're embedded directly with the end client — working on-site alongside their team rather than from a distance.)As the senior technical lead on the engagement, you'll design how the client's entire data and AI platform fits together on **Databricks** before it gets built — making the architecture decisions that everything else depends on. You'll work hands-on with stakeholders, guide delivery teams, and act as the trusted technical authority on the project.This is a high-impact, client-facing role for someone who can translate business needs into a sound, scalable data architecture and earn the trust of the people they work with day to day. What You'll Do- Design end-to-end data and AI architectures on the Databricks platform.- Lead solution design sessions and make the key technical decisions for the engagement.- Build data models and define how data flows through the system.- Embed on-site with the client team, serving as their primary technical point of contact.- Guide and mentor engineering teams to deliver against the architecture.- Translate business requirements into clear, scalable technical solutions.Must-Have Qualifications- **Hands-on Databricks experience** — this is the single most important requirement. Please do not apply for this role if you do not have databricks experience & certification- Strong data architecture and data modeling background.- Deep experience with the **Databricks Lakehouse**, **Delta Lake**, and **Unity Catalog**.*(Lakehouse = Databricks' all-in-one approach that combines a data warehouse and a data lake. Delta Lake = the storage format that keeps that data reliable. Unity Catalog = Databricks' tool for governing and securing data.)*- Proficiency with **Apache Spark** *(the engine Databricks uses to process very large datasets)*.- Experience architecting solutions on a major cloud.- Excellent communication skills and a track record in client-facing or consulting roles.- Willingness to work on-site in Chesterfield, Missouri.Nice-to-Have- **Databricks certifications** (e.g., Databricks Certified Data Engineer or Machine Learning) — a strong plus.- **Databricks Champion** designation — highly desirable.- Prior consulting or systems-integration experience.- Experience with other cloud data platforms such as Snowflake (a bonus, not a substitute for Databricks).Why JoinYou'll work at the center of high-value data and AI projects with a recognized Databricks specialist partner, embedded with clients on problems that matter, alongside a team of senior practitioners.