Databricks Lakehouse Architect — Remote

Bits In Glass; Canada; Hybrid; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Remote-friendly

Job summary

Bits In Glass is seeking a hands-on Databricks Solution Architect to design data and AI platforms for enterprise clients. You will shape Lakehouse architectures, build working prototypes, and guide delivery teams with scalable patterns across AWS, Azure, and GCP.

In this customer-facing role, you will run technical discovery, present architectures, and translate complex data concepts into clear business value for executives and engineers alike, while contributing to reusable accelerators and

Qualifications

• 3+ years hands-on 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 on AWS, Azure, and/or GCP.
• Databricks Professional certification (e.g., Data Engineer Professional, ML Professional).
• Strong expertise in at least one core data domain: big data engineering, Data Warehousing/ETL, or Data Science/ML.
• Fluency in Python and SQL (Scala/Java/R a plus).
• Excellent verbal and written communication and presentation skills for technical and non-technical stakeholders.
• Ability to translate complex topics into clear business value and earn buy-in from engineers and executives.

Responsibilities

• Design scalable Databricks solution architectures (Lakehouse, Delta Lake, Unity Catalog) tailored to customers.
• Lead technical discovery workshops to capture objectives and current-state architecture.
• Build working prototypes, PoCs, and reference architectures to showcase capabilities.
• Guide customers on data pipelines, modeling, and platform governance best practices.
• Advise on integrating Databricks with AWS/Azure/GCP and adjacent tools.
• Demonstrate Databricks capabilities across Data Engineering, Data Science, ML, and GenAI use cases.
• Identify and mitigate technical risks to enable delivery success.
• Translate technical concepts into clear business value for stakeholders and executives.
• Collaborate with sales teams to shape winning technical strategies.
• Work with Data Scientists and ML Engineers to develop AI-powered demo assets.

Skills

Databricks

Snowflake

Python

SQL

Solutions architecture

Cloud platforms

Client communication

Presentations

Team collaboration

Education

Bachelor's degree in Computer Science / Mathematics / OR

Tools

Spark

Airflow

dbt

Fivetran

Delta Sharing

MLflow

Job description

Bits In Glass is seeking a hands-on Databricks Solution Architect to design data and AI platforms for enterprise clients. You will shape Lakehouse architectures, build working prototypes, and guide delivery teams with scalable patterns across AWS, Azure, and GCP.

In this customer-facing role, you will run technical discovery, present architectures, and translate complex data concepts into clear business value for executives and engineers alike, while contributing to reusable accelerators and