Databricks Solution Architect

Databricks Solution Architect Bits In Glass  •  Remote-friendly (Canada) Bits In Glass (BIG) is a high-growth AI and automation consulting firm with offices across Canada, the United States, India, and the United Kingdom. Our portfolio spans more than 10 leading technologies across AI, cloud, data, automation, and business applications. Recognized globally as a Great Place to Work and the recipient of multiple partner excellence awards, BIG is built on collaboration, innovation, and delivering measurable business outcomes for enterprise clients. We are a team of experienced technology professionals who enjoy solving complex challenges, celebrating wins together, and helping customers modernize with confidence. About the Role We are looking for a hands-on Databricks Solution Architect to design the data and AI platforms that power our enterprise clients. This is a deeply technical role for an architect who wants to stay close to the technology — shaping Lakehouse architectures, building working prototypes, and setting the technical direction that delivery teams carry forward. You will work directly with prospects and customers to understand their data challenges and design solutions on the Databricks Lakehouse Platform that actually fit their environment. That means partnering with our account and delivery teams throughout the sales process, ensuring the architecture you propose gets built. This role is ideal for someone who enjoys solving hard data problems, solution storytelling, and being the trusted technical voice customers rely on. What You'll Do Design scalable Databricks solution architectures — Lakehouse, Delta Lake, and Unity Catalog patterns - tailored to each customer's environment and business goals. Lead technical discovery workshops to understand customer business objectives, data challenges, and current-state architecture  Build working prototypes, proofs-of-concept, and reference architectures that showcase the capabilities of the Databricks Lakehouse Platform. Guide customers on best practices for data pipelines, data modeling, and platform governance. Advise on integrating Databricks with hyperscaler environments (AWS, Azure, GCP) and adjacent data tooling. Demonstrate Databricks capabilities across Data Engineering, Data Science, ML, and Generative AI use cases, including Mosaic AI, MLflow, and Feature Store. Identify and mitigate technical risks early so delivery teams are set up for success. Translate complex technical concepts into clear business value for both technical stakeholders and executive audiences. Partner with account teams throughout the sales process – from early prospect conversations through evaluation – to shape sound, winning technical strategies Collaborate with Data Scientists and ML Engineers to develop AI-powered demo assets and reference architectures. Technical Leadership & Community Serve as a resident Databricks expert within BIG — sharing…