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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. This role is ideal for someone who enjoys solving hard data problems, solution storytelling, and being the trusted technical voice customers rely on.

Responsibilities

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.
Serve as a resident Databricks expert within BIG — sharing knowledge and enabling the broader team.
Contribute reusable accelerators, demo assets, and technical playbooks.
Stay current on Databricks platform releases and evolving data and AI patterns.
Represent BIG at customer events, webinars, and Databricks partner activities.
Provide field feedback to Databricks product and partner teams to help influence the roadmap.

Requirements

3+ years of hands-on experience with Databricks and/or Snowflake in a technical capacity.
5+ years in customer-facing technical roles — solutions architecture, technical consulting, or sales engineering.
Experience designing, presenting, and delivering production data architectures for enterprise customers – including Lakehouse, Delta Lake, and Unity Catalog Patterns – on AWS, Azure, and/or GCP.
Strong expertise in at least one core data domain: big data engineering (Spark, Kafka), Data Warehousing & ETL, or Data Science & ML.
Fluency in Python and SQL (Scala, Java, or R is a plus).
Exceptional verbal and written communication and presentation skills - able to engage in and lead business-level meetings with technical and non-technical Client and internal team members.
Ability to translate complex topics into clear business value and earn buy-in from engineers and executives.
Travel up to 15% for customer meetings and partner collaboration.

Skills

Databricks
Snowflake
Lakehouse
Delta Lake
Unity Catalog
AWS
Azure
GCP
Mosaic AI
MLflow
Feature Store
Spark
Kafka
Data Warehousing
ETL
Data Science
ML
Python
SQL
Scala
Java
R
dbt
Fivetran
Airflow
Delta Sharing
AI
GenAI
LLM

Location

Remote-friendly (Canada)

Work Type

Remote-friendly
Full-time

Experience Level

3+ years of hands-on experience with Databricks and/or Snowflake
5+ years in customer-facing technical roles

Education Level

Databricks Professional-level certification (e.g., Data Engineer Professional, Machine Learning Professional)
A degree in Computer Science, Applied Mathematics, Operations Research, or a related quantitative field (Nice to Have)
Databricks GenAI Engineer Associate certification (Nice to Have)

Benefits

Competitive compensation
Benefits
Continuous learning opportunities

About the Company

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.
Work on meaningful, high-impact data and AI projects for enterprise clients across Canada, the US, UK, and India.
Join a Certified Great Place to Work with a people-first, collaborative culture.
Access to 10+ cutting-edge technology practices and continuous learning opportunities.
Competitive compensation, benefits, and a team that celebrates wins together.
Flexible, remote-friendly work environment.