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 & 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 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.