Databricks Solution Architect

bitsinglassca; Colorado; Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Remote-friendly environment

Great Place to Work

Continuous learning opportunities with

Competitive compensation

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 set technical direction for delivery teams.

You will collaborate with prospects and customers, understand their data challenges, and design solutions on the Databricks Lakehouse Platform that fit their environment. This role calls for strong data problem solving, storytelling, and trusted technical

Qualifications

• 3+ years 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 on AWS, Azure, and/or GCP.
• Databricks Professional-level certification (e.g., Data Engineer Professional, Machine Learning 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).
• Exceptional verbal and written communication and presentation skills for technical and non-technical audiences.
• Ability to translate complex topics into clear business value and earn buy-in from engineers and executives.

Responsibilities

• Design scalable Databricks Lakehouse architectures tailored to each customer's environment and goals.
• Lead technical discovery workshops to understand objectives, data challenges, and current-state architecture.
• Build working prototypes, PoCs, and reference architectures showcasing Databricks Lakehouse capabilities.
• Guide customers on best practices for data pipelines, data modeling, and platform governance.
• Advise on integrating Databricks with AWS/Azure/GCP and adjacent tooling.
• Demonstrate Databricks capabilities across Data Engineering, Data Science, ML, and GenAI use cases.
• Identify and mitigate technical risks early for delivery success.
• Translate complex technical concepts into clear business value for stakeholders.
• Partner with account teams through the sales process to shape sound technical strategies.
• Collaborate with Data Scientists and ML Engineers to develop AI-powered demo assets.

Skills

Databricks

Snowflake

Python

SQL

Communication

Presentation

Cloud platforms

Education

Computer Science degree

Databricks certification (professional level)

Tools

dbt

Fivetran

Airflow

Delta Sharing

Job description

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 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.
• Travel up to 15% for customer meetings and partner collaboration.

What You Bring

• 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.
• Databricks Professional-level certification (e.g., Data Engineer Professional, Machine Learning Professional).
• 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.

Nice to Have

• A degree in Computer Science, Applied Mathematics, Operations Research, or a related quantitative field.
• Experience with adjacent technologies such as dbt, Fivetran, Airflow, or Delta Sharing.
• Familiarity with AI/GenAI frameworks and LLM application patterns.
• Databricks GenAI Engineer Associate certification.
• Exposure to enterprise engagement cycles and how technical decisions shape deal outcomes.
• Experience with Frontier LLMs such as Claude code for SDLC acceleration.

Why Bits In Glass?

• 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.