Resident Solutions Architect

Resident Solutions Architect

Type: Full-time

Seniority: Senior / Principal

About the Role

We'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 & certificationStrong 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 Join

You'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.